Publications

@inproceedings{bauer:recsys:2026,
	title        = {Beyond Algorithms: A Workshop on the Interdisciplinarity of Recommender Systems (BEYOND 2026)},
	author       = {Bauer, Christine and Zangerle, Eva and Said, Alan},
	year         = 2026,
	booktitle    = {Proceedings of the 20th ACM Conference on Recommender Systems},
	location     = {},
	publisher    = {Association for Computing Machinery},
	address      = {New York, NY, USA},
	series       = {RecSys '26},
	pages        = {1847–1848},
	doi          = {10.1145/3773078.3831720},
	isbn         = 9798400722844,
	url          = {https://doi.org/10.1145/3773078.3831720},
	abstract     = {Recommendation and personalization research is no longer confined to computer science. Relevant questions are actively explored across disciplines including information systems, communication science, management, cognitive science, psychology, education, media studies, marketing, and the social sciences, often grounded in distinct theories, methods, and evaluation traditions. “Beyond Algorithms: A Workshop on the Interdisciplinarity of Recommender Systems” (BEYOND 2026) aims to create a dedicated space at ACM RecSys 2026 to connect these perspectives.The workshop highlights how insights from adjacent fields can complement, extend, and sometimes challenge computing-centric approaches. It explicitly welcomes contributions studying recommendation, personalization, and related phenomena outside core computing venues, as well as integrative work that bridges computational and non-computational approaches. Through presentations and interactive discussions, we aim to surface diverse theoretical frameworks, methodological traditions, and evaluation paradigms. Our goal is to foster dialogue across disciplinary boundaries, make disciplinary assumptions explicit, and identify shared research challenges and opportunities for collaboration. By strengthening ties between the RecSys community and neighboring research traditions, BEYOND 2026 seeks to broaden participation and visibility for interdisciplinary research and to position RecSys as a hub for both technical innovation and cross-disciplinary exchange.},
	numpages     = 2,
	keywords     = {recommender systems, personalization, interdisciplinarity, cross-disciplinary research, human-centered AI, socio-technical systems, evaluation methodologies, user behavior, societal impact, organizational perspectives}
}

@book{hagen:clef:2026,
 address = {Cham},
 doi = {10.1007/978-3-032-39150-6},
 editor = {Matthias Hagen and
Martin Potthast and
Benno Stein and
Philipp Schaer and
Eva Zangerle and
Sean MacAvaney and
Julia Maria Struß and
Eva Sánchez Salido and
Alberto Barrón-Cedeño and
Alba García Seco de Herrera},
 isbn = {978-3-032-39150-6},
 publisher = {Springer},
 series = {Lecture Notes in Computer Science},
 subtitle = {17th International Conference of the CLEF Association, CLEF 2026,
Jena, Germany, September 21--24, 2026, Proceedings},
 title = {Experimental IR Meets Multilinguality, Multimodality, and Interaction},
 volume = {17087},
 year = {2026}
}

@inproceedings{ijcai2026p926,
  title     = {Beyond Top-1: Addressing Inconsistencies in Evaluating Counterfactual Explanations for Recommender Systems (Extended Abstract)},
  author    = {Mohammadi, Amir Reza and Peintner, Andreas and Müller, Michael M. and Zangerle, Eva},
  booktitle = {Proceedings of the Thirty-Fifth International Joint Conference on
               Artificial Intelligence, {IJCAI-26}},
  publisher = {International Joint Conferences on Artificial Intelligence Organization},
  editor    = {Diego Calvanese},
  pages     = {8278--8283},
  year      = {2026},
  month     = {8},
  note      = {Sister Conferences Best Papers},
  doi       = {10.24963/ijcai.2026/926},
  url       = {https://doi.org/10.24963/ijcai.2026/926},
}

@article{Serra-2026,
 abstract = {Artificial intelligence (AI) has become central to debates about the future of music, particularly with the rise of generative systems and their societal, economic, cultural, and legal implications. Public and policy discourse, however, often follows commercial narratives that narrow music‑AI to automated generation and treat music primarily as data or commodified output. This obscures both the broader range of AI applications in music and the long‑standing contributions and responsibilities of the music information retrieval (MIR) community. Addressed primarily to this community, the article argues that MIR is well positioned to contribute to current debates on trustworthy music‑AI but must also critically examine the limitations of its own research practices and incentives. We briefly situate MIR’s methodological development, applications, and shared infrastructures, emphasizing the culturally and socially situated character of music data. We then examine ethical, legal, and governance challenges in music‑AI and propose transparency, accountability, provenance, and sustainability as criteria for assessing current practice and guiding future work. Finally, we identify six interconnected priorities: mission‑oriented collaboration; sustainable open infrastructures; rigorous and context‑sensitive evaluation; cultural diversity and responsibility; engagement across research, industry, policy, and society; and interdisciplinary education and mutual capacity‑building. We conclude by identifying ways in which the MIR community can translate these priorities into practice through its research, infrastructures, evaluation and publication processes, educational activities, and engagement with musical, industry, policy, and civil society communities.},
 author = {Serra, Xavier and Alluri, Vinoo and Balke, Stefan and Bello, Juan Pablo and Benetos, Emmanouil and Bogdanov, Dmitry and Devaney, Johanna and Dixon, Simon and Duan, Zhiyao and Fazekas, George and Flexer, Arthur and Font, Frederic and Fuentes, Magdalena and Fujinaga, Ichiro and Gómez, Emilia and Goto, Masataka and Hennequin, Romain and Herremans, Dorien and Hu, Xiao and Jeong, Dasaem and Knees, Peter and Korzeniowski, Filip and Lattner, Stefan and Lee, Jin Ha and Lerch, Alexander and Liem, Cynthia and McFee, Brian and Molina, Emilio and Müller, Meinard and Nakano, Tomoyasu and Nam, Juhan and Nieto, Oriol and Oramas, Sergio and Pardo, Bryan and Peeters, Geoffroy and Rao, Preeti and Richard, Gaël and Rocamora, Martín and Srinivasamurthy, Ajay and Su, Li and Sturm, Bob L. T. and Tzanetakis, George and Volk, Anja and Wang, Ye and Widmer, Gerhard and Wiering, Frans and Weiß, Christof and Yang, Yi-Hsuan and Zangerle, Eva},
 doi = {10.5334/tismir.372},
 journal = {Transactions of the International Society for Music Information Retrieval},
 keyword = {en},
 month = {Sep},
 title = {AI and Music at a Crossroads: The Role of the Music Information Retrieval (MIR) Community in Shaping Trustworthy, Open, and Culturally Inclusive Music‑AI},
 year = {2026}
}

@InProceedings{10.1007/978-3-032-39150-6_33,
author="Bevendorff, Janek
and Fr{\"o}be, Maik
and Greiner-Petter, Andr{\'e}
and Jakoby, Andreas
and Mayerl, Maximilian
and Nakov, Preslav
and Plutz, Henry
and Potthast, Martin
and Stein, Benno
and Ta, Minh Ngoc
and Wang, Yuxia
and Zangerle, Eva",
editor="Hagen, Matthias
and Potthast, Martin
and Stein, Benno
and Schaer, Philipp
and Zangerle, Eva
and MacAvaney, Sean
and Stru{\ss}, Julia Maria
and S{\'a}nchez Salido, Eva
and Barr{\'o}n-Cede{\~{n}}o, Alberto
and Garc{\'i}a Seco de Herrera, Alba",
title="Overview of PAN 2026: Voight-Kampff Generative AI Detection, Text Watermarking, Multi-author Writing Style Analysis, Generative Plagiarism Detection, and Reasoning Trajectory Detection",
booktitle="Experimental IR Meets Multilinguality, Multimodality, and Interaction",
year="2026",
publisher="Springer Nature Switzerland",
address="Cham",
pages="574--597",
abstract="For almost two decades now, the PAN lab has been striving to advance the state of the art in text forensics and stylometry through objective evaluation of new and established methods on curated benchmark datasets. In 2026, we organized five shared tasks: (1) Generative AI detection, particularly in mixed and obfuscated authorship scenarios, (2) Text Watermarking, a new task aiming to evaluate inconspicuousness and robustness of text watermarking techniques, (3) Multi-author Writing Style Analysis, a continued task aiming at identifying authorship position changes, (4) Generative Plagiarism Detection, focusing this year on generated text source retrieval, and (5) Reasoning Trajectory Detection, another new task aiming at source identification and safety assessment of generative reasoning chains. PAN 2026 concluded successfully with more than 200 software submissions and 52 notebook papers.",
isbn="978-3-032-39150-6"
}

@article{mohammadi:tors:2026,
author = {Mohammadi, Amir Reza and Peintner, Andreas and Mueller, Michael and Zangerle, Eva},
title = {Measuring What Matters: Consistency and Compactness in Evaluation of Counterfactual Explanations},
year = {2026},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {https://doi.org/10.1145/3839564},
doi = {10.1145/3839564},
abstract = {Explainability in recommender systems (RS) remains a pivotal challenge. Counterfactual explanations have emerged as a particularly actionable paradigm, offering intuitive “what-if” reasoning. However, their evaluation lacks principled standards. Current metrics primarily assess whether explanations change the top-ranked recommendation, overlooking two fundamental aspects of explanation quality. First, evaluation results are frequently inconsistent, as metrics are tightly coupled to the underlying recommender’s performance. Second, explanations are rarely assessed for compactness—whether changes are sufficiently small to remain interpretable. Oversized counterfactuals may technically succeed but fail to provide practical insight. In this work, we advocate for a holistic evaluation perspective centered on consistency and compactness. We systematically analyze how extending evaluation beyond top-1 to top-k recommendations improves metric stability and reduces dependence on recommender fluctuations. In parallel, we introduce compactness-aware evaluation criteria that quantify the minimality of counterfactual modifications. Through extensive experiments across multiple datasets and models, we demonstrate that jointly considering these dimensions yields more reliable assessments. Our findings expose key factors driving metric instability, highlight the trade-off between effectiveness and explanation size, and provide practical guidelines toward standardized, faithful, and compact evaluation of counterfactual explanations in recommender systems.},
note = {Just Accepted},
journal = {ACM Transactions on Recommender Systems},
month = aug,
keywords = {Recommender Systems, Counterfactual Explanations, Evaluation, Consistency, Compactness}
}

@inproceedings{10.1145/3805712.3809584,
author = {Mohammadi, Amir Reza and Peintner, Andreas and M\"{u}ller, Michael M. and Zangerle, Eva},
title = {Minimal-Perturbation Counterfactuals through Guided Denoising Diffusion for Recommender Systems Explanation},
year = {2026},
isbn = {9798400725999},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {https://doi.org/10.1145/3805712.3809584},
doi = {10.1145/3805712.3809584},
abstract = {Counterfactual explanations for recommender systems aim to identify minimal changes to a user's interaction history that would alter the model's recommendation, thereby providing actionable and user-centric explanations. However, existing CE methods often rely on local perturbation or mask-based strategies that require substantial profile modifications and exhibit unstable behavior under fine-grained ranking changes. In this work, we propose DiceRec, a diffusion-based, model-agnostic framework for generating interaction-level counterfactual explanations. DiceRec leverages denoising diffusion probabilistic models to learn the distribution of user interaction histories and integrates counterfactual objectives directly into the reverse diffusion process via guided denoising. By shaping the denoising trajectory at each step, DiceRec generates compact, semantically coherent counterfactuals that induce the desired ranking changes without relying on explicit sparsity regularization or heuristic perturbation budgets. Beyond the method itself, we introduce a fine-grained and constrained evaluation protocol that reveals important differences in explanation quality that are obscured by conventional coarse-grained, percentage-based perturbation schemes. Through extensive experiments, we show that DiceRec consistently outperforms state-of-the-art baselines, particularly in minimal-perturbation scenarios that reflect realistic counterfactual conditions. Our results highlight the advantages of diffusion-based counterfactual generation and underscore the necessity of fine-grained evaluation for faithful explanation assessment in recommender systems.},
booktitle = {Proceedings of the 49th International ACM SIGIR Conference on Research and Development in Information Retrieval},
pages = {1371–1381},
numpages = {11},
keywords = {recommender systems, counterfactual explanation, denoising diffusion probabilistic models, evaluation},
location = {Australia},
series = {SIGIR '26}
}

@inproceedings{10.1145/3774935.3806172,
author = {M\"{u}ller, Michael and Mohammadi, Amir Reza and Peintner, Andreas and Barroso Gstrein, Beatriz and Specht, G\"{u}nther and Zangerle, Eva},
title = {Can Third-Party Annotators Reliably Evaluate Conversational Recommender Systems?},
year = {2026},
isbn = {9798400723117},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {https://doi.org/10.1145/3774935.3806172},
doi = {10.1145/3774935.3806172},
abstract = {User-centric evaluation has become a key paradigm for assessing Conversational Recommender Systems (CRS), aiming to capture subjective qualities such as satisfaction, trust, and rapport. To enable scalable evaluation, recent work increasingly relies on third-party annotations of static dialogue logs by crowd workers or large language models. However, the reliability of this practice remains largely unexamined. In this paper, we present a large-scale empirical study investigating the reliability and structure of user-centric CRS evaluation on static dialogue transcripts. We collected 1,053 annotations from 124 crowd workers on 200 ReDial dialogues using the 18-dimensional CRS-Que framework. Using random-effects reliability models and correlation analysis, we quantify the stability of individual dimensions and their interdependencies. Our results show that utilitarian and outcome-oriented dimensions such as accuracy, usefulness, and satisfaction achieve moderate reliability under aggregation, whereas socially grounded constructs such as humanness and rapport are substantially less reliable. Furthermore, many dimensions collapse into a single global quality signal, revealing a strong halo effect in third-party judgments. These findings challenge the validity of single-annotator and LLM-based evaluation protocols and motivate the need for multi-rater aggregation and dimension reduction in offline CRS evaluation.},
booktitle = {Proceedings of the 34th ACM Conference on User Modeling, Adaptation and Personalization},
pages = {351–355},
numpages = {5},
keywords = {Conversational Recommender Systems, User-Centric, Evaluation, User Interaction, Personalization},
location = {
},
series = {UMAP '26}
}

@InProceedings{bevendorff:ecir:2026,
  address =                  {Cham, Switzerland},
  author =                   "Bevendorff, Janek
and Fr{\"o}be, Maik
and Greiner-Petter, Andre
and Jakoby, Andreas
and Mayerl, Maximilian
and Nakov, Preslav
and Plutz, Henry
and Potthast, Martin
and Stein, Benno
and Ta, Minh Ngoc
and Wang, Yuxia
and Zangerle, Eva",
  booktitle =                {Advances in Information Retrieval. 48th European Conference on IR Research (ECIR 2026)},
  doi =                      {10.1007/978-3-032-21321-1_32},
  editor =                   {Ricardo Campos and Adam Jatowt and Yanyan Lan and Mohammad Aliannejadi and Christine Bauer and Sean MacAvaney and Zhaochun Ren and Suzan Verberne and Nan Bai and Masoud Mansoury},
  pages =                    {225--232},
  publisher =                {Springer Nature},
  series =                   {Lecture Notes in Computer Science},
  title =                    {{Overview of PAN 2026: Voight-Kampff Generative AI Detection, Text Watermarking, Multi-author Writing Style Analysis, Generative Plagiarism Detection, and Reasoning Trajectory Detection -- Extended Abstract}},
  volume =                   16485,
  year =                     {2026}
}

@article{mohammadi2025quantitative,
  title={Quantitative Assessment of GNN Counterfactual Explanation Robustness and Reproducibility under Adversarial Influence},
  author={Mohammadi, Amir Reza and M{\"u}ller, Michael M and Peintner, Andreas and Gstrein, Beatriz Barroso and Zangerle, Eva and Specht, G{\"u}nther},
  year={2025},
  booktitle    = {Proceedings of the 36th GI-Workshop Grundlagen von Datenbanken (GvDB 2025), Regensburg, Germany},
}

@article{mohammadi2025quantitative,
  title={Yearning for Better Metrics: Revisiting the ReDial Dataset for Evaluating Conversational Recommender Systems},
  author={M{\"u}ller, Michael M and Mohammadi, Amir Reza and Peintner, Andreas and Gstrein, Beatriz Barroso and Zangerle, Eva and Specht, G{\"u}nther},
  year={2025},
  booktitle={Proceedings of the 36th GI-Workshop Grundlagen von Datenbanken (GvDB 2025), Regensburg, Germany},
}

@phdthesis{peintner2025dissertation,
  title={{Sequential Recommendation - A Graph-based Perspective}},
  school = {University of Innsbruck, Department of Computer Science},
  author={Andreas Peintner},
  year={2025},
}

@inproceedings{zangerle:pan:2025,
  author       = {Eva Zangerle and
                  Maximilian Mayerl and
                  Martin Potthast and
                  Benno Stein},
  title        = {Overview of the Multi-Author Writing Style Analysis Task at {PAN}
                  2025},
  booktitle    = {Working Notes of the Conference and Labs of the Evaluation Forum {(CLEF}
                  2025), Madrid, Spain, 9-12 September, 2025},
  series       = {{CEUR} Workshop Proceedings},
  volume       = {4038},
  pages        = {3568--3574},
  publisher    = {CEUR-WS.org},
  year         = {2025},
  url          = {https://ceur-ws.org/Vol-4038},
}

@InProceedings{bevendorff:2025,
  address =                  {Berlin Heidelberg New York},
  author =                   {Janek Bevendorff and Daryna Dementieva and Maik Fr{\"o}be and Bela Gipp and Andr{\'e} Greiner-Petter and Jussi Karlgren and Maximilian Mayerl and Preslav Nakov and Alexander Panchenko and Martin Potthast and Artem Shelmanov and Efstathios Stamatatos and Benno Stein and Yuxia Wang and Matti Wiegmann and Eva Zangerle},
  booktitle =                {Experimental IR Meets Multilinguality, Multimodality, and Interaction. Proceedings of the Sixteenth International Conference of the CLEF Association (CLEF 2025)},
  editor =                   {Jorge Carrillo-de-Albornoz and Julio Gonzalo and Laura Plaza and Alba Garc{\'i}a Seco Herrera and Josiane Mothe and Florina Piroi and Paolo Rosso and Damiano Spina and Guglielmo Faggioli and Nicola Ferro},
  month =                    9,
  publisher =                {Springer},
  series =                   {Lecture Notes in Computer Science},
  site =                     {Madrid, Spain},
  title =                    {{Overview of PAN 2025: Voight-Kampff Generative AI Detection, Multilingual Text Detoxification, Multi-Author Writing Style Analysis, and Generative Plagiarism Detection}},
  year =                     {2025}
}

@inproceedings{zangerle:recsys:2025,
author = {Zangerle, Eva and Said, Alan and Bauer, Christine},
title = {Beyond Algorithms: Reclaiming the Interdisciplinary Roots of Recommender Systems (BEYOND 2025)},
year = {2025},
isbn = {9798400713644},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {https://doi.org/10.1145/3705328.3747998},
doi = {10.1145/3705328.3747998},
abstract = {This workshop challenges the machine learning-centric focus of modern recommender systems research by reconnecting the field with its interdisciplinary origins and exploring the non-algorithmic dimensions that are crucial to effective recommendation. It fosters a space for reflective, critical, and creative discussions on recommender systems that embrace human values, user experiences, and societal impact. The workshop emphasizes methodological diversity and invites contributions from psychology, human-computer interaction, ethics, design, and other disciplines.},
booktitle = {Proceedings of the Nineteenth ACM Conference on Recommender Systems},
pages = {1360–1361},
numpages = {2},
keywords = {recommender systems, interdisciplinary, personalized systems, non-algorithmic dimensions},
location = {
},
series = {RecSys '25}
}

@inproceedings{mohammadi:recsys:2025,
author = {Mohammadi, Amir Reza and Peintner, Andreas and M\"{u}ller, Michael and Zangerle, Eva},
title = {Beyond Top-1: Addressing Inconsistencies in Evaluating Counterfactual Explanations for Recommender Systems},
year = {2025},
isbn = {9798400713644},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {https://doi.org/10.1145/3705328.3748028},
doi = {10.1145/3705328.3748028},
abstract = {Explainability in recommender systems (RS) remains a pivotal yet challenging research frontier. Among state-of-the-art techniques, counterfactual explanations stand out for their effectiveness, as they show how small changes to input data can alter recommendations, providing actionable insights that build user trust and enhance transparency. Despite their growing prominence, the evaluation of counterfactual explanations in RS is far from standardized. Specifically, existing metrics show inconsistency since they are affected by variations in the performance of the underlying recommenders. Hence, we critically examine the evaluation of counterfactual explainers through consistency as the key principle of effective evaluation. Through extensive experiments, we assess how going beyond top-1 recommendation and incorporating top-k recommendations impacts the consistency of existing evaluation metrics. Our findings reveal factors that impact the consistency of existing evaluation metrics and offer a step toward effectively mitigating the inconsistency problem in counterfactual explanation evaluation.},
booktitle = {Proceedings of the Nineteenth ACM Conference on Recommender Systems},
pages = {515–520},
numpages = {6},
keywords = {Recommender Systems, Counterfactual Explanation, Evaluation},
location = {
},
series = {RecSys '25}
}

@article{jacobsen:musiscaescientiae:2024,
	title        = {Assessing aesthetic music-evoked emotions in a minute or less: A comparison of the GEMS-45 and the GEMS-9},
	author       = {Peer-Ole Jacobsen and Hannah Strauss and Julia Vigl and Eva Zangerle and Marcel Zentner},
journal = {Musicae Scientiae},
volume = {29},
number = {1},
pages = {184-192},
year = {2025},
doi = {10.1177/10298649241256252},
}

@article{peintner:tismir:2025,
 abstract = {Music emotion recognition (MER) seeks to understand the complex emotional landscapes elicited by music, acknowledging music\’s profound social and psychological roles beyond traditional tasks such as genre classification or content similarity. MER relies heavily on high‑quality emotional annotations, which serve as the foundation for training models to recognize emotions. However, collecting these annotations is both complex and costly, leading to limited availability of large‑scale datasets for MER. Recent efforts in MER for automatically extracting emotion have focused on learning track representations in a supervised manner. However, these approaches mainly use simplified emotion models due to limited datasets or a lack of necessity for sophisticated emotion models and ignore hidden inter‑track relations, which are beneficial in a semi‑supervised learning setting. This paper proposes a novel approach to MER by constructing a multi‑relational graph that encapsulates different facets of music. We leverage graph neural networks to model intricate inter‑track relationships and capture structurally induced representations from user data, such as listening histories, genres, and tags. Our model, the semi‑supervised multi‑relational graph neural network for emotion recognition (SRGNN‑Emo), innovates by combining graph‑based modeling with semi‑supervised learning, using rich user data to extract nuanced emotional profiles from music tracks. Through extensive experimentation, SRGNN‑Emo demonstrates significant improvements in R2 and root mean squared error metrics for predicting the intensity of nine continuous emotions (Geneva Emotional Music Scale), demonstrating its superior capability in capturing and predicting complex emotional expressions in music.},
 author = {Peintner, Andreas and Moscati, Marta and Kinoshita, Yu and Vogl, Richard and Knees, Peter and Schedl, Markus and Strauss, Hannah and Zentner, Marcel and Zangerle, Eva},
 doi = {10.5334/tismir.235},
 journal = {Transactions of the International Society for Music Information Retrieval},
 keyword = {en_US},
 month = {Jun},
 title = {Nuanced Music Emotion Recognition via a Semi-Supervised Multi-Relational Graph Neural Network},
 year = {2025}
}

@inproceedings{peintner2025hyperhawkes,
  author       = {Andreas Peintner and
                  Amir Reza Mohammadi and
                  Michael M{\"{u}}ller and
                  Eva Zangerle},
  title        = {Hypergraph-based Temporal Modelling of Repeated Intent for Sequential
                  Recommendation},
  booktitle    = {Proceedings of the {ACM} on Web Conference 2025, {WWW} 2025, Sydney,
                  NSW, Australia, 28 April 2025- 2 May 2025},
  pages        = {3809--3818},
  publisher    = {{ACM}},
  year         = {2025},
  url          = {https://doi.org/10.1145/3696410.3714896},
  doi          = {10.1145/3696410.3714896}
}

@inproceedings{bevendorff_ecir_2025,
 address = {Cham},
 author = {Bevendorff, Janek
and Dementieva, Daryna
and Fröbe, Maik
and Gipp, Bela
and Greiner-Petter, Andre
and Karlgren, Jussi
and Mayerl, Maximilian
and Nakov, Preslav
and Panchenko, Alexander
and Potthast, Martin
and Shelmanov, Artem
and Stamatatos, Efstathios
and Stein, Benno
and Wang, Yuxia
and Wiegmann, Matti
and Zangerle, Eva},
 booktitle = {Advances in Information Retrieval},
 editor = {Hauff, Claudia
and Macdonald, Craig
and Jannach, Dietmar
and Kazai, Gabriella
and Nardini, Franco Maria
and Pinelli, Fabio
and Silvestri, Fabrizio
and Tonellotto, Nicola},
 isbn = {978-3-031-88720-8},
 pages = {434--441},
 publisher = {Springer Nature Switzerland},
 title = {Overview of PAN 2025: Generative AI Detection, Multilingual Text Detoxification, Multi-author Writing Style Analysis, and Generative Plagiarism Detection},
 year = {2025},
 doi = {10.1007/978-3-031-88720-8_64},
 url = {https://doi.org/10.1007/978-3-031-88720-8_64}
}

@article{peintner:tors:2025,
 address = {New York, NY, USA},
 articleno = {46},
 author = {Peintner, Andreas and Mohammadi, Amir Reza and Zangerle, Eva},
 doi = {10.1145/3701764},
 issue_date = {December 2025},
 journal = {ACM Transactions on Recommender Systems},
 keywords = {Recommender systems, session-based recommendation, graph neural network, supervised contrastive learning},
 month = {April},
 number = {4},
 numpages = {24},
 publisher = {Association for Computing Machinery},
 title = {Efficient Session-based Recommendation with Contrastive Graph-based Shortest Path Search},
 url = {https://doi.org/10.1145/3701764},
 volume = {3},
 year = {2025}
}

@Article{bauer:dagstuhl:2024,
  author =	{Bauer, Christine and Said, Alan and Zangerle, Eva},
  title =	{{Evaluation Perspectives of Recommender Systems: Driving Research and Education (Dagstuhl Seminar 24211)}},
  pages =	{58--172},
  journal =	{Dagstuhl Reports},
  ISSN =	{2192-5283},
  year =	{2024},
  volume =	{14},
  number =	{5},
  editor =	{Bauer, Christine and Said, Alan and Zangerle, Eva},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagRep.14.5.58},
  URN =		{urn:nbn:de:0030-drops-222655},
  doi =		{10.4230/DagRep.14.5.58},
  annote =	{Keywords: Recommender Systems, Evaluation, Information Retrieval, User Interaction, Intelligent Systems}
}

@inproceedings{10.1145/3640457.3687101,
author = {Said, Alan and Bauer, Christine and Zangerle, Eva},
title = {Reflections on Recommender Systems: Past, Present, and Future (INTROSPECTIVES)},
year = {2024},
isbn = {9798400705052},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {https://doi.org/10.1145/3640457.3687101},
doi = {10.1145/3640457.3687101},
abstract = {With the RecSys conference now turning 18 years old, the recommender systems (RS) discipline ventures into adulthood. This workshop serves as a platform for introspection, examining the evolution of RS from its origins in CHI to its current state heavily influenced by and focusing on machine learning. The INTROSPECTIVES workshop aims to foster discussions on the past, present, and future of the RS discipline, inviting the community to reflect on key questions such as the maturation of RS, shifts in research focus, and the impact and success of RS in practice. Topics include the changing landscape of RS problems, the evolving role of RS in addressing choice overload to the current motivations driving RS adoption.},
booktitle = {Proceedings of the 18th ACM Conference on Recommender Systems},
pages = {1237–1238},
numpages = {2},
keywords = {information retrieval, introspection, personalized systems, recommender systems, reflection},
location = {Bari, Italy},
series = {RecSys '24}
}

@InProceedings{10.1007/978-3-031-56072-9_1,
author="Bevendorff, Janek
and Casals, Xavier Bonet
and Chulvi, Berta
and Dementieva, Daryna
and Elnagar, Ashaf
and Freitag, Dayne
and Fr{\"o}be, Maik
and Koren{\v{c}}i{\'{c}}, Damir
and Mayerl, Maximilian
and Mukherjee, Animesh
and Panchenko, Alexander
and Potthast, Martin
and Rangel, Francisco
and Rosso, Paolo
and Smirnova, Alisa
and Stamatatos, Efstathios
and Stein, Benno
and Taul{\'e}, Mariona
and Ustalov, Dmitry
and Wiegmann, Matti
and Zangerle, Eva",
editor="Goharian, Nazli
and Tonellotto, Nicola
and He, Yulan
and Lipani, Aldo
and McDonald, Graham
and Macdonald, Craig
and Ounis, Iadh",
title="Overview of PAN 2024: Multi-author Writing Style Analysis, Multilingual Text Detoxification, Oppositional Thinking Analysis, and Generative AI Authorship Verification",
booktitle="Advances in Information Retrieval",
year="2024",
publisher="Springer Nature Switzerland",
address="Cham",
pages="3--10",
abstract="The paper gives a brief overview of the four shared tasks organized at the PAN 2024 lab on digital text forensics and stylometry to be hosted at CLEF 2024. The goal of the PAN lab is to advance the state-of-the-art in text forensics and stylometry through an objective evaluation of new and established methods on new benchmark datasets. Our four tasks are: (1) multi-author writing style analysis, which we continue from 2023 in a more difficult version, (2) multilingual text detoxification, a new task that aims to translate and re-formulate text in a non-toxic way, (3) oppositional thinking analysis, a new task that aims to discriminate critical thinking from conspiracy narratives and identify their core actors, and (4) generative AI authorship verification, which formulates the detection of AI-generated text as an authorship problem, one of PAN's core tasks. As with the previous editions, PAN invites software submissions as easy-to-reproduce docker containers; more than 400 pieces of software have been submitted from PAN'12 through PAN'23 combined, with all recent evaluations running on the TIRA experimentation platform [8].",
isbn="978-3-031-56072-9"
}

@inproceedings{zangerle:pan:2024,
  author       = {Eva Zangerle and
                  Maximilian Mayerl and
                  Martin Potthast and
                  Benno Stein},
  title        = {Overview of the Multi-Author Writing Style Analysis Task at {PAN}
                  2024},
  booktitle    = {Working Notes of the Conference and Labs of the Evaluation Forum {(CLEF}
                  2024), Grenoble, France, 9-12 September, 2024},
  series       = {{CEUR} Workshop Proceedings},
  volume       = {3740},
  pages        = {2424--2431},
  publisher    = {CEUR-WS.org},
  year         = {2024},
  url          = {https://ceur-ws.org/Vol-3740},
}

@InProceedings{murauer2022dtgrams,
  author       = {Amir Reza Mohammadi and
                  Amir{-}Hossein Karimi and
                  Mahdi Bohlouli and
                  Eva Zangerle and
                  G{\"{u}}nther Specht},
  booktitle = {Proceedings of the 34nd GI-Workshop Grundlagen von Datenbanken (GvDB 2023) },
  title     = {HPT4Rec: AutoML-based Hyperparameter Self-Tuning Framework for Session-based
                  Recommender Systems},
  year      = {2024},
}

@article{strauss:2024:behaviorresearchmethods,
	title        = {The Emotion-to-Music Mapping Atlas (EMMA): A systematically organized online database of emotionally evocative music excerpts},
	author       = {Strauss, Hannah and Vigl, Julia and Jacobsen, Peer-Ole and Bayer, Martin and Talamini, Francesca and Vigl, Wolfgang and Zangerle, Eva and Zentner, Marcel},
	year         = 2024,
	month        = {jun},
	journal      = {Behavior Research Methods},
	publisher    = {Springer},
	pages        = {3560--3577},
        issue_date   = {June 2024},
	volume	     = 56,
        number       = 4,
	doi          = {https://doi.org/10.3758/s13428-024-02336-0}
}

@inproceedings{10.1145/3627043.3659540,
author = {Moscati, Marta and Strau\ss{}, Hannah and Jacobsen, Peer-Ole and Peintner, Andreas and Zangerle, Eva and Zentner, Marcel and Schedl, Markus},
title = {Emotion-Based Music Recommendation from Quality Annotations and Large-Scale User-Generated Tags},
year = {2024},
isbn = {9798400704338},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {https://doi.org/10.1145/3627043.3659540},
doi = {10.1145/3627043.3659540},
abstract = {Emotions constitute an important aspect when listening to music. While manual annotations from user studies grounded in psychological research on music and emotions provide a well-defined and fine-grained description of the emotions evoked when listening to a music track, user-generated tags provide an alternative view stemming from large-scale data. In this work, we examine the relationship between these two emotional characterizations of music and analyze their impact on the performance of emotion-based music recommender systems individually and jointly. Our analysis shows that (i) the agreement between the two characterizations, as measured with Cohen’s κ coefficient and Kendall rank correlation, is often low, (ii) Leveraging the emotion profile based on the intensity of evoked emotions from high-quality annotations leads to performances that are stable across different recommendation algorithms; (iii) Simultaneously leveraging the emotion profiles based on high-quality and large-scale annotations allows to provide recommendations that are less exposed to the low accuracy that algorithms might reach when leveraging one type of data, only.},
booktitle = {Proceedings of the 32nd ACM Conference on User Modeling, Adaptation and Personalization},
pages = {159–164},
numpages = {6},
keywords = {Annotation Study, Emotion-based Recommender Systems, Emotions, Music, Music Recommender Systems},
location = {Cagliari, Italy},
series = {UMAP '24}
}

@InProceedings{murauer2022dtgrams,
  author       = {Michael M. M{\"{u}}ller and
                  G{\"{u}}nther Specht and
                  Lukas Kleinheinz and
                  Janette F. Walde},
  booktitle = {Proceedings of the 35nd GI-Workshop Grundlagen von Datenbanken (GvDB 2024) },
  title        = {Bias Correction and Machine Learning in {AR(1)} Estimation: Bridging
                  Traditional and Modern Techniques},
  year      = {2024},
}

@article{parada:srep:2024,
  title={Song lyrics have become simpler and more repetitive over the last five decades},
  author={Parada-Cabaleiro, Emilia and Mayerl, Maximilian and Brandl, Stefan and Skowron, Marcin and Schedl, Markus and Lex, Elisabeth and Zangerle, Eva},
  journal={Scientific Reports},
  volume={14},
  number={1},
  pages={5531},
  year={2024},
  publisher={Nature Publishing Group UK London},
  doi={10.1038/s41598-024-55742-x}
}

@proceedings{soto:iuiworkshops:2024,
  editor       = {Axel Soto and
                  Eva Zangerle},
  title        = {Joint Proceedings of the {ACM} {IUI} 2024 Workshops co-located with
                  the 29th Annual {ACM} Conference on Intelligent User Interfaces {(IUI}
                  2024), Greenville, South Carolina, USA, March 18, 2024},
  series       = {{CEUR} Workshop Proceedings},
  volume       = {3660},
  publisher    = {CEUR-WS.org},
  year         = {2024},
  url          = {https://ceur-ws.org/Vol-3660},
  urn          = {urn:nbn:de:0074-3660-6},
  timestamp    = {Fri, 12 Apr 2024 20:58:03 +0200},
  biburl       = {https://dblp.org/rec/conf/iui/2024w.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}

@article{10.1145/3629170,
author = {Bauer, Christine and Zangerle, Eva and Said, Alan},
title = {Exploring the Landscape of Recommender Systems Evaluation: Practices and Perspectives},
year = {2024},
issue_date = {March 2024},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
volume = {2},
number = {1},
url = {https://doi.org/10.1145/3629170},
doi = {10.1145/3629170},
abstract = {Recommender systems research and practice are fast-developing topics with growing adoption in a wide variety of information access scenarios. In this article, we present an overview of research specifically focused on the evaluation of recommender systems. We perform a systematic literature review, in which we analyze 57 papers spanning six years (2017–2022). Focusing on the processes surrounding evaluation, we dial in on the methods applied, the datasets utilized, and the metrics used. Our study shows that the predominant experiment type in research on the evaluation of recommender systems is offline experimentation and that online evaluations are primarily used in combination with other experimentation methods, e.g., an offline experiment. Furthermore, we find that only a few datasets (MovieLens, Amazon review dataset) are widely used, while many datasets are used in only a few papers each. We observe a similar scenario when analyzing the employed performance metrics—a few metrics are widely used (precision, normalized Discounted Cumulative Gain, and Recall), while many others are used in only a few papers. Overall, our review indicates that beyond-accuracy qualities are rarely assessed. Our analysis shows that the research community working on evaluation has focused on the development of evaluation in a rather narrow scope, with the majority of experiments focusing on a few metrics, datasets, and methods.},
journal = {ACM Trans. Recomm. Syst.},
month = {mar},
articleno = {11},
numpages = {31},
keywords = {Evaluation, survey, systematic literature review, recommender systems}
}

@inproceedings{DBLP:conf/ecir/BevendorffCCDEFFKMMPPRRSSSTUWZ24,
  author       = {Janek Bevendorff and
                  Xavier Bonet Casals and
                  Berta Chulvi and
                  Daryna Dementieva and
                  Ashaf Elnagar and
                  Dayne Freitag and
                  Maik Fr{\"{o}}be and
                  Damir Korencic and
                  Maximilian Mayerl and
                  Animesh Mukherjee and
                  Alexander Panchenko and
                  Martin Potthast and
                  Francisco Rangel and
                  Paolo Rosso and
                  Alisa Smirnova and
                  Efstathios Stamatatos and
                  Benno Stein and
                  Mariona Taul{\'{e}} and
                  Dmitry Ustalov and
                  Matti Wiegmann and
                  Eva Zangerle},
  editor       = {Nazli Goharian and
                  Nicola Tonellotto and
                  Yulan He and
                  Aldo Lipani and
                  Graham McDonald and
                  Craig Macdonald and
                  Iadh Ounis},
  title        = {Overview of {PAN} 2024: Multi-author Writing Style Analysis, Multilingual
                  Text Detoxification, Oppositional Thinking Analysis, and Generative
                  {AI} Authorship Verification - Extended Abstract},
  booktitle    = {Advances in Information Retrieval - 46th European Conference on Information
                  Retrieval, {ECIR} 2024, Glasgow, UK, March 24-28, 2024, Proceedings,
                  Part {VI}},
  series       = {Lecture Notes in Computer Science},
  volume       = {14613},
  pages        = {3--10},
  publisher    = {Springer},
  year         = {2024},
  doi          = {10.1007/978-3-031-56072-9\_1},
}

@article{10.1145/3648398,
author = {Bauer, Christine and Said, Alan and Zangerle, Eva},
title = {Introduction to the Special Issue on Perspectives on Recommender Systems Evaluation},
year = {2024},
issue_date = {March 2024},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
volume = {2},
number = {1},
url = {https://doi.org/10.1145/3648398},
doi = {10.1145/3648398},
abstract = {Evaluation plays a vital role in recommender systems—in research and practice—whether for confirming algorithmic concepts or assessing the operational validity of designs and applications. It may span the evaluation of early ideas and approaches up to elaborate implementations of systems integrated into everyday product settings; it may target a wide spectrum of different factors being evaluated. In this special issue, we explore recommender systems evaluation—theory and practice—while considering a diverse set of perspectives. These include recommender systems purposes, stakeholders, methodological approaches, and consequences. The collection of articles in this special issue offers insightful analyses of current recommender system evaluation practices, acknowledging their limitations, and setting out future research directions. As recommender systems evolve, the need for adequate evaluation methods and approaches increases. This special issue sheds light on areas undergoing development or requiring added attention from the research and practitioner communities in recommender systems. The compilation serves as a call to the recommender systems research community, motivating continued research and exploration of evaluation metrics, methods, and strategies.},
journal = {ACM Trans. Recomm. Syst.},
month = {mar},
articleno = {1},
numpages = {5},
keywords = {Evaluation, recommender systems, reproducibility, datasets, metrics}
}

@article{10.1145/3642979.3643000,
author = {Said, Alan and Zangerle, Eva and Bauer, Christine},
title = {Report on the 3rd Workshop on the Perspectives on the Evaluation of Recommender Systems (PERSPECTIVES 2023) at RecSys 2023},
year = {2024},
issue_date = {December 2023},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
volume = {57},
number = {2},
issn = {0163-5840},
url = {https://doi.org/10.1145/3642979.3643000},
doi = {10.1145/3642979.3643000},
journal = {SIGIR Forum},
month = {jan},
articleno = {18},
numpages = {4}
}

@inproceedings{10.1145/3640457.3691709,
author = {Mohammadi, Amir Reza and Peintner, Andreas and M\"{u}ller, Michael and Zangerle, Eva},
title = {Are We Explaining the Same Recommenders? Incorporating Recommender Performance for Evaluating Explainers},
year = {2024},
isbn = {9798400705052},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {https://doi.org/10.1145/3640457.3691709},
doi = {10.1145/3640457.3691709},
abstract = {Explainability in recommender systems is both crucial and challenging. Among the state-of-the-art explanation strategies, counterfactual explanation provides intuitive and easily understandable insights into model predictions by illustrating how a small change in the input can lead to a different outcome. Recently, this approach has garnered significant attention, with various studies employing different metrics to evaluate the performance of these explanation methods. In this paper, we investigate the metrics used for evaluating counterfactual explainers for recommender systems. Through extensive experiments, we demonstrate that the performance of recommenders has a direct effect on counterfactual explainers and ignoring it results in inconsistencies in the evaluation results of explainer methods. Our findings highlight an additional challenge in evaluating counterfactual explainer methods and underscore the need to report the recommender performance or consider it in evaluation metrics.},
booktitle = {Proceedings of the 18th ACM Conference on Recommender Systems},
pages = {1113–1118},
numpages = {6},
keywords = {Counterfactual Explanation, Evaluation, Recommender Systems},
location = {Bari, Italy},
series = {RecSys '24}
}

  

@inproceedings{DBLP:conf/clef/ZangerleMP023,
  author       = {Eva Zangerle and
                  Maximilian Mayerl and
                  Martin Potthast and
                  Benno Stein},
  editor       = {Mohammad Aliannejadi and
                  Guglielmo Faggioli and
                  Nicola Ferro and
                  Michalis Vlachos},
  title        = {Overview of the Multi-Author Writing Style Analysis Task at {PAN}
                  2023},
  booktitle    = {Working Notes of the Conference and Labs of the Evaluation Forum {(CLEF}
                  2023), Thessaloniki, Greece, September 18th to 21st, 2023},
  series       = {{CEUR} Workshop Proceedings},
  volume       = {3497},
  pages        = {2513--2522},
  publisher    = {CEUR-WS.org},
  year         = {2023},
  url          = {https://ceur-ws.org/Vol-3497/paper-201.pdf},
  timestamp    = {Wed, 25 Oct 2023 17:24:28 +0200},
  biburl       = {https://dblp.org/rec/conf/clef/ZangerleMP023.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}

@inproceedings{DBLP:conf/recsys/Peintner23,
  author       = {Andreas Peintner},
  title        = {Sequential Recommendation Models: {A} Graph-based Perspective},
  booktitle    = {Proceedings of the 17th {ACM} Conference on Recommender Systems, RecSys
                  2023, Singapore, Singapore, September 18-22, 2023},
  pages        = {1295--1299},
  publisher    = {{ACM}},
  year         = {2023},
  url          = {https://doi.org/10.1145/3604915.3608776},
  doi          = {10.1145/3604915.3608776},
  timestamp    = {Sun, 24 Sep 2023 15:46:34 +0200},
  biburl       = {https://dblp.org/rec/conf/recsys/Peintner23.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}

@proceedings{DBLP:conf/recsys/2023perspectives,
  editor       = {Alan Said and
                  Eva Zangerle and
                  Christine Bauer},
  title        = {Proceedings of the 3rd Workshop Perspectives on the Evaluation of Recommender Systems 2023 co-located with the 17th {ACM} Conference on Recommender Systems (RecSys 2023), Singapore, Singapore, September
                  19, 2023},
  series       = {{CEUR} Workshop Proceedings},
  volume       = {3476},
  publisher    = {CEUR-WS.org},
  year         = {2023},
  url          = {https://ceur-ws.org/Vol-3476},
  urn          = {urn:nbn:de:0074-3476-4},
}

@inproceedings{DBLP:conf/recsys/Mohammadi23,
  author       = {Amir Reza Mohammadi},
  title        = {Explainable Graph Neural Network Recommenders; Challenges and Opportunities},
  booktitle    = {Proceedings of the 17th {ACM} Conference on Recommender Systems, RecSys
                  2023, Singapore, Singapore, September 18-22, 2023},
  pages        = {1318--1324},
  publisher    = {{ACM}},
  year         = {2023},
  url          = {https://doi.org/10.1145/3604915.3608875},
  doi          = {10.1145/3604915.3608875},
  timestamp    = {Sun, 24 Sep 2023 15:46:34 +0200},
  biburl       = {https://dblp.org/rec/conf/recsys/Mohammadi23.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}

@inproceedings{DBLP:conf/recsys/PeintnerMZ23,
  author       = {Andreas Peintner and
                  Amir Reza Mohammadi and
                  Eva Zangerle},
  title        = {{SPARE:} Shortest Path Global Item Relations for Efficient Session-based
                  Recommendation},
  booktitle    = {Proceedings of the 17th {ACM} Conference on Recommender Systems, RecSys
                  2023, Singapore, Singapore, September 18-22, 2023},
  pages        = {58--69},
  publisher    = {{ACM}},
  year         = {2023},
  url          = {https://doi.org/10.1145/3604915.3608768},
  doi          = {10.1145/3604915.3608768}
}

@inproceedings{bevendorff:clef:2023,
author="Bevendorff, Janek
and Borrego-Obrador, Ian
and Chinea-R{\'i}os, Mara
and Franco-Salvador, Marc
and Fr{\"o}be, Maik
and Heini, Annina
and Kredens, Krzysztof
and Mayerl, Maximilian
and P{\k{e}}zik, Piotr
and Potthast, Martin
and Rangel, Francisco
and Rosso, Paolo
and Stamatatos, Efstathios
and Stein, Benno
and Wiegmann, Matti
and Wolska, Magdalena
and Zangerle, Eva",
title="Overview of PAN 2023: Authorship Verification, Multi-Author Writing Style Analysis, Profiling Cryptocurrency Influencers, and Trigger Detection",
booktitle="Experimental IR Meets Multilinguality, Multimodality, and Interaction",
year="2023",
publisher="Springer Nature Switzerland",
address="Cham",
pages="459--481",
abstract="The paper gives a brief overview of three shared tasks which have been organized at the PAN 2023 lab on digital text forensics and stylometry hosted at the CLEF 2023 conference. The tasks include authorship verification across discourse types, multi-author writing style analysis, profiling cryptocurrency influencers with few-shot learning, and trigger detection. Authorship verification and multi-author analysis continue and advance from past editions of PAN and influencer profiling and trigger detection are new tasks with novel research questions and evaluation resources. All four tasks alilgn with the goals of all shared tasks at PAN: to advance the state of the art in text forensics and stylometry while ensuring objective evaluation on newly developed benchmark datasets.",
isbn="978-3-031-42448-9",
doi="10.1007/978-3-031-42448-9_29"
}

@inproceedings{DBLP:conf/recsys/SaidZ023,
  author       = {Alan Said and
                  Eva Zangerle and
                  Christine Bauer},
  title        = {Third Workshop: Perspectives on the Evaluation of Recommender Systems
                  {(PERSPECTIVES} 2023)},
  booktitle    = {Proceedings of the 17th {ACM} Conference on Recommender Systems, RecSys
                  2023, Singapore, Singapore, September 18-22, 2023},
  pages        = {1221--1222},
  publisher    = {{ACM}},
  year         = {2023},
  url          = {https://doi.org/10.1145/3604915.3608748},
  doi          = {10.1145/3604915.3608748},
}

@article{10.1145/3556536,
author = {Zangerle, Eva and Bauer, Christine},
title = {Evaluating Recommender Systems: Survey and Framework},
year = {2023},
month = {August},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
issn = {0360-0300},
url = {https://doi.org/10.1145/3556536},
doi = {10.1145/3556536},
abstract = {The comprehensive evaluation of the performance of a recommender system is a complex endeavor: many facets need to be considered in configuring an adequate and effective evaluation setting. Such facets include, for instance, defining the specific goals of the evaluation, choosing an evaluation method, underlying data, and suitable evaluation metrics. In this paper, we consolidate and systematically organize this dispersed knowledge on recommender systems evaluation. We introduce the “Framework for EValuating Recommender systems” (FEVR) that we derive from the discourse on recommender systems evaluation. In FEVR, we categorize the evaluation space of recommender systems evaluation. We postulate that the comprehensive evaluation of a recommender system frequently requires considering multiple facets and perspectives in the evaluation. The FEVR framework provides a structured foundation to adopt adequate evaluation configurations that encompass this required multi-facettedness and provides the basis to advance in the field. We outline and discuss the challenges of a comprehensive evaluation of recommender systems, and provide an outlook on what we need to embrace and do to move forward as a research community.},
journal = {ACM Computing Surveys},
volume       = 55,
number       = 8,
articleno = {170},
numpages = {38},
keywords = {Framework for EValuating Recommender systems, survey, FEVR}
}

@inproceedings{voetter@songpopordinal,
        author =       {V\"{o}tter, Michael and Mayerl, Maximilian and Zangerle, Eva and Specht, G\"{u}nther},
	title        = {Song Popularity Prediction using Ordinal Classification},
	year         = 2023,
	booktitle    = {Proceedings of the 20th Sound and Music Computing Conference. June 15-17, 2023. Stockholm, Sweden},
	publisher    = {Royal College of Music and KTH Royal Institute of Technology},
	editor       = {Roberto Bresin and Kjetil Falkenberg},
	organization = {Royal College of Music and KTH Royal Institute of Technology}
}

@inproceedings{mci/Mayerl2023,
author = {Mayerl, Maximilian AND Vötter, Michael AND Specht, Günther AND Zangerle, Eva},
title = {Pairwise Learning to Rank for Hit Song Prediction},
booktitle = {BTW 2023},
year = {2023},
editor = {König-Ries, Birgitta AND Scherzinger, Stefanie AND Lehner, Wolfgang AND Vossen, Gottfried} ,
doi = { 10.18420/BTW2023-26 },
publisher = {Gesellschaft für Informatik e.V.},
address = {}
}

@inproceedings{mci/Moosleitner2023,
author = {Moosleitner, Manfred and Specht, Günther and Zangerle, Eva},
title = {Detection of Generated Text Reviews by Leveraging Methods from Authorship Attribution: Predictive Performance vs. Resourcefulness},
booktitle = {BTW 2023},
year = {2023},
editor = {König-Ries, Birgitta AND Scherzinger, Stefanie AND Lehner, Wolfgang AND Vossen, Gottfried} ,
doi = { 10.18420/BTW2023-11 },
publisher = {Gesellschaft für Informatik e.V.},
address = {}
}

@article{10.1145/3582900.3582919,
author = {Zangerle, Eva and Bauer, Christine and Said, Alan},
title = {Report on the 2nd Workshop on the Perspectives on the Evaluation of Recommender Systems (PERSPECTIVES 2022) at RecSys 2022},
year = {2023},
issue_date = {December 2022},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
volume = {56},
number = {2},
issn = {0163-5840},
url = {https://doi.org/10.1145/3582900.3582919},
doi = {10.1145/3582900.3582919},
journal = {SIGIR Forum},
month = {jan},
articleno = {15},
numpages = {4}
}

@InProceedings{10.1007/978-3-031-23793-5_26,
author="Murauer, Benjamin
and Tschuggnall, Michael
and Specht, G{\"u}nther",
editor="Gelbukh, Alexander",
title="On the Influence of Machine Translation on Language Origin Obfuscation",
booktitle="Computational Linguistics and Intelligent Text Processing",
year="2023",
publisher="Springer Nature Switzerland",
address="Cham",
pages="320--330",
abstract="In the last decade, machine translation has become a popular means to deal with multilingual digital content. By providing higher quality translations, obfuscating the source language of a text becomes more attractive. In this paper, we analyze the ability to detect the source language from the translated output of two widely used commercial machine translation systems by utilizing machine-learning algorithms with basic textual features like n-grams. Evaluations show that the source language can be reconstructed with high accuracy for documents that contain a sufficient amount of translated text. In addition, we analyze how the document size influences the performance of the prediction, as well as how limiting the set of possible source languages improves the classification accuracy.",
isbn="978-3-031-23793-5"
}

@InProceedings{10.1007/978-3-031-23804-8_23,
author="Murauer, Benjamin
and Tschuggnall, Michael
and Specht, G{\"u}nther
and Brandl, Julia",
editor="Gelbukh, Alexander",
title="Algorithmic Segmentation of Job Ads Using Textual Analysis",
booktitle="Computational Linguistics and Intelligent Text Processing",
year="2023",
publisher="Springer Nature Switzerland",
address="Cham",
pages="287--300",
abstract="As job ads are getting more prevalent online, an automated analysis is becoming increasingly important, especially in the field of human resource management. In this paper, we propose an approach to automatically segment job ads by predefined categories like the description of a job or the offering company, which is needed to categorize and quantify different aspects of job ads. Using a manually annotated data set, textual features are extracted for each segment type in a first step and utilized to train state-of-the-art machine learning classification methods. Subsequently, these models are used by iterative algorithms to detect the individual segments. Using several optimization techniques like detecting typical segment start phrases, comprehensive evaluations show promising results.",
isbn="978-3-031-23804-8"
}

@InProceedings{10.1007/978-3-031-28241-6_60,
author="Bevendorff, Janek
and Chinea-Rios, Mara
and Franco-Salvador, Marc
and Heini, Annina
and K{\"o}rner, Erik
and Kredens, Krzysztof
and Mayerl, Maximilian
and Pkezik, Piotr
and Potthast, Martin
and Rangel, Francisco
and Rosso, Paolo
and Stamatatos, Efstathios
and Stein, Benno
and Wiegmann, Matti
and Wolska, Magdalena
and Zangerle, Eva",
title="Overview of PAN 2023: Authorship Verification, Multi-author Writing Style Analysis, Profiling Cryptocurrency Influencers, and Trigger Detection",
booktitle="Advances in Information Retrieval (ECIR 2023)",
year="2023",
publisher="Springer Nature Switzerland",
address="Cham",
pages="518--526",
isbn="978-3-031-28241-6"
}

@phdthesis{zangerle:habil:2022,
 author = {Eva Zangerle},
 school = {University of Innsbruck},
 title = {Recommender Systems for Music Retrieval Tasks},
 type = {Habilitation},
 year = {2022}
}

@inproceedings{mayerl:ismir:2022,
   title        = {Verse versus Chorus: Structure-aware Feature Extraction for Lyrics-based Genre Recognition},
   author       = {Mayerl, Maximilian and Brandl, Stefan and Specht, G{\"u}nther and Schedl, Markus and Zangerle, Eva},
   year         = 2022,
   booktitle    = {Proceedings of the 23rd International Society for Music Information Retrieval Conference 2022},
   publisher    = {ISMIR},
   series       = {ISMIR '22},
   pages        = {884--890},
   doi          = {10.5281/zenodo.7316806}
 }

@phdthesis{murauer2022dissertation,
  title={{Universal Grammar Features for Cross-Language Authorship Attribution}},
  school = {University of Innsbruck, Department of Computer Science},
  author={Benjamin Murauer},
  year={2022},
}

@proceedings{DBLP:conf/recsys/2022perspectives,
  editor    = {Eva Zangerle and
               Christine Bauer and
               Alan Said},
  title     = {Proceedings of the Perspectives on the Evaluation of Recommender Systems
               Workshop 2022 co-located with the 16th {ACM} Conference on Recommender
               Systems (RecSys 2022)},
  series    = {{CEUR} Workshop Proceedings},
  volume    = {3228},
  publisher = {CEUR-WS.org},
  year      = {2022},
  url       = {http://ceur-ws.org/Vol-3228},
}

@inproceedings{10.1145/3511808.3557656,
author = {Moscati, Marta and Parada-Cabaleiro, Emilia and Deldjoo, Yashar and Zangerle, Eva and Schedl, Markus},
title = {Music4All-Onion -- A Large-Scale Multi-Faceted Content-Centric Music Recommendation Dataset},
year = {2022},
isbn = {9781450392365},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {https://doi.org/10.1145/3511808.3557656},
doi = {10.1145/3511808.3557656},
abstract = {When we appreciate a piece of music, it is most naturally because of its content, including rhythmic, tonal, and timbral elements as well as its lyrics and semantics. This suggests that the human affinity for music is inherently content-driven. This kind of information is, however, still frequently neglected by mainstream recommendation models based on collaborative filtering that rely solely on user-item interactions to recommend items to users. A major reason for this neglect is the lack of standardized datasets that provide both collaborative and content information. The work at hand addresses this shortcoming by introducing Music4All-Onion, a large-scale, multi-modal music dataset. The dataset expands the Music4All dataset by including 26 additional audio, video, and metadata characteristics for 109,269 music pieces. In addition, it provides a set of 252,984,396 listening records of 119,140 users, extracted from the online music platform Last.fm, which allows leveraging user-item interactions as well. We organize distinct item content features in an onion model according to their semantics, and perform a comprehensive examination of the impact of different layers of this model (e.g., audio features, user-generated content, and derivative content) on content-driven music recommendation, demonstrating how various content features influence accuracy, novelty, and fairness of music recommendation systems. In summary, with Music4All-Onion, we seek to bridge the gap between collaborative filtering music recommender systems and content-centric music recommendation requirements.},
booktitle = {Proceedings of the 31st ACM International Conference on Information & Knowledge Management},
pages = {4339–4343},
numpages = {5},
keywords = {music information retrieval, image, video, audio features, lyrics, music recommender systems, audio signal, multimedia content analysis, onion model, natural language processing},
location = {Atlanta, GA, USA},
series = {CIKM '22}
}

@inproceedings{peintner:cars:2022,
 author = {Peintner, Andreas and Moscati, Marta and Parada-Cabaleiro, Emilia and Schedl, Markus and Zangerle, Eva},
 booktitle = {CARS: Workshop on Context-Aware Recommender Systems (RecSys ’22)},
 title = {Unsupervised Graph Embeddings for Session-based Recommendation with Item Features},
 year = {2022}
}

@inproceedings{DBLP:conf/clef/BevendorffCFHKK22,
  author    = {Janek Bevendorff and
               Berta Chulvi and
               Elisabetta Fersini and
               Annina Heini and
               Mike Kestemont and
               Krzysztof Kredens and
               Maximilian Mayerl and
               Reynier Ortega{-}Bueno and
               Piotr Pezik and
               Martin Potthast and
               Francisco Rangel and
               Paolo Rosso and
               Efstathios Stamatatos and
               Benno Stein and
               Matti Wiegmann and
               Magdalena Wolska and
               Eva Zangerle},
  title     = {Overview of {PAN} 2022: Authorship Verification, Profiling Irony and
               Stereotype Spreaders, and Style Change Detection},
  booktitle = {Experimental {IR} Meets Multilinguality, Multimodality, and Interaction
               - 13th International Conference of the {CLEF} Association, {CLEF}
               2022, Bologna, Italy, September 5-8, 2022, Proceedings},
  series    = {Lecture Notes in Computer Science},
  volume    = {13390},
  pages     = {382--394},
  publisher = {Springer},
  year      = {2022},
  url       = {https://doi.org/10.1007/978-3-031-13643-6\_24},
  doi       = {10.1007/978-3-031-13643-6\_24},
}

@inproceedings{zangerle-recsys-2022,
author = {Zangerle, Eva and Bauer, Christine and Said, Alan},
title = {Second Workshop: Perspectives on the Evaluation of Recommender Systems (PERSPECTIVES 2022)},
year = {2022},
isbn = {9781450392785},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {https://doi.org/10.1145/3523227.3547408},
doi = {10.1145/3523227.3547408},
booktitle = {Proceedings of the 16th ACM Conference on Recommender Systems},
pages = {652–653},
numpages = {2},
keywords = {evaluation, recommender systems, personalized systems, methods, information retrieval},
location = {Seattle, WA, USA},
series = {RecSys '22}
}

@inproceedings{DBLP:conf/clef/ZangerleMP022,
  author    = {Eva Zangerle and
               Maximilian Mayerl and
               Martin Potthast and
               Benno Stein},
  editor    = {Guglielmo Faggioli and
               Nicola Ferro and
               Allan Hanbury and
               Martin Potthast},
  title     = {Overview of the Style Change Detection Task at {PAN} 2022},
  booktitle = {Working Notes of {CLEF} 2022 - Conference and Labs
               of the Evaluation Forum},
  series    = {{CEUR} Workshop Proceedings},
  volume    = {3180},
  pages     = {2344--2356},
  publisher = {CEUR-WS.org},
  year      = {2022},
  url       = {http://ceur-ws.org/Vol-3180/paper-186.pdf},
  timestamp = {Wed, 10 Aug 2022 16:26:45 +0200},
  biburl    = {https://dblp.org/rec/conf/clef/ZangerleMP022.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}

@article{voetter_ijsc_2022,
	title = {{HSP} {Datasets}: {Insights} on {Song} {Popularity} {Prediction}},
	issn = {1793-351X},
	url = {https://www.worldscientific.com/doi/abs/10.1142/S1793351X22400104},
	doi = {10.1142/S1793351X22400104},
	journal = {International Journal of Semantic Computing},
	author = {Vötter, Michael and Mayerl, Maximilian and Specht, Günther and Zangerle, Eva},
	month = may,
	year = {2022},
	note = {Publisher: World Scientific Publishing Co.},
	pages = {1--23},
}

@article{10.1145/3506692,
author = {Binna, Robert and Zangerle, Eva and Pichl, Martin and Specht, G\"{u}nther and Leis, Viktor},
title = {Height Optimized Tries},
year = {2022},
issue_date = {March 2022},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
volume = {47},
number = {1},
issn = {0362-5915},
url = {https://doi.org/10.1145/3506692},
doi = {10.1145/3506692},
abstract = {We present the Height Optimized Trie (HOT), a fast and space-efficient in-memory index structure. The core algorithmic idea of HOT is to dynamically vary the number of bits considered at each node, which enables a consistently high fanout and thereby good cache efficiency. For a fixed maximum node fanout, the overall tree height is minimal and its structure is deterministically defined. Multiple carefully engineered node implementations using SIMD instructions or lightweight compression schemes provide compactness and fast search and optimize HOT structures for different usage scenarios. Our experiments, which use a wide variety of workloads and data sets, show that HOT outperforms other state-of-the-art index structures for string keys both in terms of search performance and memory footprint, while being competitive for integer keys.},
journal = {ACM Trans. Database Syst.},
month = {apr},
articleno = {3},
numpages = {46},
keywords = {main memory, SIMD, Height optimized trie, index structure}
}

@InProceedings{10.1007/978-3-030-99739-7_42,
author="Bevendorff, Janek
and Chulvi, Berta
and Fersini, Elisabetta
and Heini, Annina
and Kestemont, Mike
and Kredens, Krzysztof
and Mayerl, Maximilian
and Ortega-Bueno, Reyner
and Pezik, Piotr
and Potthast, Martin
and Rangel, Francisco
and Rosso, Paolo
and Stamatatos, Efstathios
and Stein, Benno
and Wiegmann, Matti
and Wolska, Magdalena
and Zangerle, Eva",
editor="Hagen, Matthias
and Verberne, Suzan
and Macdonald, Craig
and Seifert, Christin
and Balog, Krisztian
and N{\o}rv{\aa}g, Kjetil
and Setty, Vinay",
title="Overview of PAN 2022: Authorship Verification, Profiling Irony and Stereotype Spreaders, Style Change Detection, and Trigger Detection",
booktitle="Advances in Information Retrieval. ECIR 2022",
year="2022",
publisher="Springer International Publishing",
address="Cham",
pages="331--338",
abstract="The paper gives a brief overview of the four shared tasks to be organized at the PAN 2022 lab on digital text forensics and stylometry hosted at the CLEF 2022 conference. The tasks include authorship verification across discourse types, multi-author writing style analysis, author profiling, and content profiling. Some of the tasks continue and advance past editions (authorship verification and multi-author analysis) and some are new (profiling irony and stereotypes spreaders and trigger detection). The general goal of the PAN shared tasks is to advance the state of the art in text forensics and stylometry while ensuring objective evaluation on newly developed benchmark datasets.",
isbn="978-3-030-99739-7", 
doi="10.1007/978-3-030-99739-7_42",
url="https://link.springer.com/chapter/10.1007/978-3-030-99739-7_42"
}

@article{zangerle:sigirforum:2021,
author = {Zangerle, Eva and Bauer, Christine and Said, Alan},
title = {Report on the 1st Workshop on the Perspectives on the Evaluation of Recommender Systems (PERSPECTIVES 2021) at RecSys 2021},
year = {2022},
issue_date = {December 2021},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
volume = {55},
number = {2},
issn = {0163-5840},
url = {https://doi.org/10.1145/3527546.3527565},
doi = {10.1145/3527546.3527565},
abstract = {Evaluation is a central step when it comes to developing, optimizing, and deploying recommender systems. The PERSPECTIVES 2021 workshop at the 15th ACM Conference on Recommender Systems brought together academia and industry to critically reflect on the evaluation of recommender systems. The primary goal of the workshop was to capture the current state of evaluation from different, and maybe even diverging or contradictory perspectives.Date: 25 and 30 September 2021.Website: https://perspectives-ws.github.io/2021/.},
journal = {SIGIR Forum},
month = {mar},
articleno = {16},
numpages = {5}
}

@InProceedings{murauer2022dtgrams,
  author    = {Murauer, Benjamin and Specht, G\"{u}nther},
  booktitle = {Proceedings of the 32nd GI-Workshop Grundlagen von Datenbanken (GvDB 2021) },
  title     = {{DT-grams: Structured Dependency Grammar Stylometry for Cross-Language Authorship Attribution}},
  year      = {2022},
}

@InProceedings{moosleitner2022corattingattacks,
  author    = {Moosleitner, Manfred and Specht, G\"{u}nther and Zangerle, Eva},
  booktitle = {Proceedings of the 32nd GI-Workshop Grundlagen von Datenbanken (GvDB 2021) },
  title     = {{Co-rating Attacks on Recommendation Algorithms}},
  year      = {2022},
}

@inproceedings{mayerlRecognizingSongMood2021,
	title = {Recognizing Song Mood and Theme: Clustering-based Ensembles},
	booktitle = {Working Notes Proceedings of the MediaEval 2021 Workshop},
	publisher = {ceur-ws.org},
	author = {Mayerl, Maximilian and Vötter, Michael and Peintner, Andreas and Specht, Günther and Zangerle, Eva},
	month = {12},
	year = {2021},
}

@inproceedings{voetter:ism:2021,
  author    = {
               Michael V\"{o}tter and Maximilian Mayerl and G\"{u}nther Specht and Eva Zangerle},
  title     = {Novel Datasets for Evaluating Song Popularity Prediction Tasks},
  booktitle = {{IEEE} International Symposium on Multimedia, {ISM} 2021, Virtual Event, November 29 -- December 1, 2021},
  pages     = {166--173},
  publisher = {{IEEE}},
  year      = {2021},
  doi       = {10.1109/ISM52913.2021.00034},
}

@InProceedings{murauer2021authbench,
  author    = {Murauer, Benjamin and Specht, G\"{u}nther},
  booktitle = {Proceedings of the Second Workshop on Evaluation and Comparison of NLP Systems (Eval4NLP'21)},
  title     = {{Developing a Benchmark for Reducing Data Bias in Authorship Attribution}},
  publisher = {Association for Computational Linguistics},
  year      = {2021},
  pages     = {179--188}
}

@InProceedings{zangerle:2020,
  author =              {Eva Zangerle and Maximilian Mayerl and Martin Potthast and Benno Stein},
  booktitle =           {{CLEF 2021 Labs and Workshops, Notebook Papers}},
  editor =              {Guglielmo Faggioli and Nicola Ferro and Alexis Joly and Maria Maistro and Florina Piroi},
  publisher =           {CEUR-WS.org},
  title =               {{Overview of the Style Change Detection Task at PAN 2021}},
  url =                 {http://ceur-ws.org/Vol-2936/},
  year =                2021,
  pages = {1760--1771}
}

@proceedings{zangerle:perspectives:2021,
  editor    = {Eva Zangerle and 
               Christine Bauer and 
              Alan Said},
  title     = {Proceedings of the Perspectives on the Evaluation of Recommender Systems Workshop 2021
co-located with the 15th ACM Conference on Recommender Systems (RecSys 2021)},
  series    = {{CEUR} Workshop Proceedings},
  volume    = {2955},
  publisher = {CEUR-WS.org},
  year      = {2021},
  url       = {http://ceur-ws.org/Vol-2955},
  urn       = {urn:nbn:de:0074-2955-1},
}

@inproceedings{DBLP:conf/clef/BevendorffCSKMM21,
  author    = {Janek Bevendorff and
               Berta Chulvi and
               Gretel Liz De la Pe{\~{n}}a Sarrac{\'{e}}n and
               Mike Kestemont and
               Enrique Manjavacas and
               Ilia Markov and
               Maximilian Mayerl and
               Martin Potthast and
               Francisco Rangel and
               Paolo Rosso and
               Efstathios Stamatatos and
               Benno Stein and
               Matti Wiegmann and
               Magdalena Wolska and
               Eva Zangerle},
  editor    = {K. Sel{\c{c}}uk Candan and
               Bogdan Ionescu and
               Lorraine Goeuriot and
               Birger Larsen and
               Henning M{\"{u}}ller and
               Alexis Joly and
               Maria Maistro and
               Florina Piroi and
               Guglielmo Faggioli and
               Nicola Ferro},
  title     = {Overview of {PAN} 2021: Authorship Verification, Profiling Hate Speech
               Spreaders on Twitter, and Style Change Detection},
  booktitle = {Experimental {IR} Meets Multilinguality, Multimodality, and Interaction
               - 12th International Conference of the {CLEF} Association, {CLEF}
               2021, Virtual Event, September 21-24, 2021, Proceedings},
  series    = {Lecture Notes in Computer Science},
  volume    = {12880},
  pages     = {419--431},
  publisher = {Springer},
  year      = {2021},
  url       = {https://doi.org/10.1007/978-3-030-85251-1\_26},
  doi       = {10.1007/978-3-030-85251-1\_26},
}

@inproceedings{murauer-specht-2021-small,
    title = "Small-Scale Cross-Language Authorship Attribution on Social Media Comments",
    author = "Murauer, Benjamin  and Specht, G\"{u}nther",
    booktitle = "Proceedings of the 4th Workshop on Technologies for MT of Low Resource Languages (LoResMT2021)",
    month = aug,
    year = "2021",
    url = "https://aclanthology.org/2021.mtsummit-LoResMT.2",
    pages = "11--19",
    year      = {2021},
    pages     = {11--19},
}

@article{pichl2020user,
  title={User models for multi-context-aware music recommendation},
  author={Pichl, Martin and Zangerle, Eva},
  journal={Multimedia Tools and Applications},
  pages={22509--22531},
  year={2021},
  publisher={Springer},
  doi={10.1007/s11042-020-09890-7},
  volume=80,
  number={15}
}

@inproceedings{10.1145/3460231.3470929,
author = {Zangerle, Eva and Bauer, Christine and Said, Alan},
title = {Perspectives on the Evaluation of Recommender Systems (PERSPECTIVES)},
year = {2021},
isbn = {9781450384582},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {https://doi.org/10.1145/3460231.3470929},
doi = {10.1145/3460231.3470929},
booktitle = {Fifteenth ACM Conference on Recommender Systems},
pages = {794–795},
numpages = {2},
keywords = {recommender systems, evaluation, methods},
location = {Amsterdam, Netherlands},
series = {RecSys '21}
}

@InProceedings{10.1007/978-3-030-72240-1_66,
author="Bevendorff, Janek
and Chulvi, BERTa
and Sarrac{\'e}n, Gretel Liz De La Pe{\~{n}}a
and Kestemont, Mike
and Manjavacas, Enrique
and Markov, Ilia
and Mayerl, Maximilian
and Potthast, Martin
and Rangel, Francisco
and Rosso, Paolo
and Stamatatos, Efstathios
and Stein, Benno
and Wiegmann, Matti
and Wolska, Magdalena
and Zangerle, Eva",
editor="Hiemstra, Djoerd
and Moens, Marie-Francine
and Mothe, Josiane
and Perego, Raffaele
and Potthast, Martin
and Sebastiani, Fabrizio",
title="Overview of PAN 2021: Authorship Verification, Profiling Hate Speech Spreaders on Twitter, and Style Change Detection",
booktitle="Advances in  Information Retrieval. ECIR 2021",
year="2021",
publisher="Springer International Publishing",
address="Cham",
pages="567--573",
abstract="The paper gives a brief overview of the three shared tasks to be organized at the PAN 2021 lab on digital text forensics and stylometry hosted at the CLEF conference. The tasks include authorship verification across domains, author profiling for hate speech spreaders, and style change detection for multi-author documents. In part the tasks are new and in part they continue and advance past shared tasks, with the overall goal of advancing the state of the art, providing for an objective evaluation on newly developed benchmark datasets.",
isbn="978-3-030-72240-1"
}

@ARTICLE{8382228,
  author={Eva {Zangerle} and Chih-Ming {Chen} and Ming-Feng {Tsai} and Yi-Hsuan {Yang}},
  journal={IEEE Transactions on Affective Computing}, 
  title={Leveraging Affective Hashtags for Ranking Music Recommendations}, 
  year={2021},
  volume={12},
  number={1},
  pages={78-91},
  doi={10.1109/TAFFC.2018.2846596}}

@article{kowald2021support,
  title={Support the underground: characteristics of beyond-mainstream music listeners},
  author={Kowald, Dominik and Muellner, Peter and Zangerle, Eva and Bauer, Christine and Schedl, Markus and Lex, Elisabeth},
  journal={EPJ Data Science},
  volume={10},
  number={1},
  pages={1--26},
  year={2021},
  publisher={Springer}
}

@Article{Specht2021ReLaX,
  author={Specht, G{\"u}nther and Kessler, Johannes and Mayerl, Maximilian and Tschuggnall, Michael},
  title={RelaX - Interaktive Relationale Algebra in der Lehre},
  journal={Datenbank-Spektrum},
  year={2021},
  month={Jan},
  day={24},
  abstract={Das relationale Modell und insbesondere die relationale Algebra bilden die Grundlage jedes relationalen Datenbanksystems. Daher ist es in der Lehre wichtig, den Studierenden eine fundierte Einf{\"u}hrung in die relationale Algebra zu geben. Nur so erhalten sie ein vertieftes Verst{\"a}ndnis f{\"u}r die interne Ausf{\"u}hrung einer Anfrage. W{\"a}hrend es viele M{\"o}glichkeiten gibt, SQL zu {\"u}ben, fehlen bisher gr{\"o}{\ss}tenteils solche M{\"o}glichkeiten f{\"u}r die relationale Algebra. Sie wird meist nur theoretisch unterrichtet. Darum hat die Forschungsgruppe DBIS an der Universit{\"a}t Innsbruck ein rein webbasiertes Tool entwickelt, das die Lehre der relationalen Algebra erleichtern und verbessern soll: RelaX. RelaX ist unter http://dbis-uibk.github.io/relax/frei verf{\"u}gbar.},
  issn={1610-1995},
  doi={10.1007/s13222-021-00367-x},
  url={https://doi.org/10.1007/s13222-021-00367-x}
}

@proceedings{DBLP:conf/ismir/2020,
  author    = {Julie Cumming and
               Jin Ha Lee and
               Brian McFee and
               Markus Schedl and
               Johanna Devaney and
               Cory McKay and
               Eva Zangerle and
               Timothy de Reuse},
  title     = {Proceedings of the 21th International Society for Music Information
               Retrieval Conference, {ISMIR} 2020, Montreal, Canada, October 11-16,
               2020},
  year      = {2020},
  isbn      = {978-0-9813537-1-5},
  timestamp = {Mon, 19 Jul 2021 15:30:03 +0200},
  biburl    = {https://dblp.org/rec/conf/ismir/2020.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}

@inproceedings{bevendorff:clef:2020,
 author = {Janek Bevendorff and Bilal Ghanem and Anastasia Giachanou and Mike Kestemont and Enrique Manjavacas and Ilia Markov and Maximilian Mayerl and Martin Potthast and Francisco Rangel and Paolo Rosso and Günther Specht and Efstathios Stamatatos and Benno~Stein and Matti Wiegmann and Eva Zangerle},
 booktitle = {11th International Conference of the CLEF Association (CLEF 2020)},
 editor = {Avi Arampatzis and Evangelos Kanoulas and Theodora Tsikrika and Stefanos Vrochidis and Hideo
Joho and Christina Lioma and Carsten Eickhoff and Aurélie Névéol and Linda Cappellato and Nicola Ferro},
 month = {September},
 publisher = {Springer},
 title = {Overview of PAN 2020: Authorship Verification, Celebrity Profiling, Profiling Fake News Spreaders on Twitter, and Style Change Detection},
 url = {http://ceur-ws.org/Vol-2696/},
 venue = {Thessaloniki, Greece},
 year = {2020}
}

@inproceedings{ecir20_pan,
 abstract = {The paper gives a brief overview of the four shared tasks that are to be organized at the PAN 2020 lab on digital text forensics and stylometry, hosted at CLEF conference. The tasks include author profiling, celebrity profiling, cross-domain author verification, and style change detection, seeking to advance the state of the art and to evaluate it on new benchmark datasets.},
 address = {Cham},
 author = {Bevendorff, Janek
and Ghanem, Bilal
and Giachanou, Anastasia
and Kestemont, Mike
and Manjavacas, Enrique
and Potthast, Martin
and Rangel, Francisco
and Rosso, Paolo
and Specht, Günther
and Stamatatos, Efstathios
and Stein, Benno
and Wiegmann, Matti
and Zangerle, Eva},
 booktitle = {Advances in Information Retrieval, ECIR 2020},
 editor = {Jose, Joemon M.
and Yilmaz, Emine
and Magalhães, João
and Castells, Pablo
and Ferro, Nicola
and Silva, Mário J.
and Martins, Flávio},
 isbn = {978-3-030-45442-5},
 pages = {508--516},
 publisher = {Springer International Publishing},
 title = {Shared Tasks on Authorship Analysis at PAN 2020},
 year = {2020}
}

@article{zangerle2020user,
  title={User Models for Culture-Aware Music Recommendation: Fusing Acoustic and Cultural Cues},
  author={Zangerle, Eva and Pichl, Martin and Schedl, Markus},
  journal={Transactions of the International Society for Music Information Retrieval},
  volume={3},
  number={1},
  year={2020},
  publisher={Ubiquity Press},
  doi={10.5334/tismir.37}
}

@inproceedings{10.1145/3383313.3412223,
 address = {New York, NY, USA},
 author = {Melchiorre, Alessandro B. and Zangerle, Eva and Schedl, Markus},
 booktitle = {14th ACM Conference on Recommender Systems (RecSys 2020)},
 doi = {10.1145/3383313.3412223},
 isbn = {9781450375832},
 keywords = {bias, dataset, music recommender systems, neural networks, personality},
 location = {Virtual Event, Brazil},
 numpages = {6},
 pages = {533–538},
 publisher = {ACM},
 series = {RecSys '20},
 title = {Personality Bias of Music Recommendation Algorithms},
 url = {https://doi.org/10.1145/3383313.3412223},
 year = {2020}
}

@inproceedings{hortenhuemer2020multi,
  title={A Multi-Aspect Classification Ensemble Approach for Profiling Fake News Spreaders on Twitter},
  author={H{\"o}rtenhuemer, Clemens and Zangerle, Eva},
  booktitle={Proceedings of the International Conference and Labs of the Evaluation Forum (CLEF), Thessaloniki, Greece},
  pages={22--25},
  year={2020}
}

@inproceedings{bevendorff2020overview,
  title={Overview of PAN 2020: Authorship Verification, Celebrity Profiling, Profiling Fake News Spreaders on Twitter, and Style Change Detection},
  author={Bevendorff, Janek and Ghanem, Bilal and Giachanou, Anastasia and Kestemont, Mike and Manjavacas, Enrique and Markov, Ilia and Mayerl, Maximilian and Potthast, Martin and Rangel, Francisco and Rosso, Paolo and others},
  booktitle={International Conference of the Cross-Language Evaluation Forum for European Languages (CLEF 2020)},
  pages={372--383},
  year={2020},
  organization={Springer}
}

@inproceedings{zangerle2020overview,
  title={Overview of the style change detection task at PAN 2020},
  author={Zangerle, Eva and Mayerl, Maximilian and Specht, G{\"u}nther and Potthast, Martin and Stein, Benno},
  year={2020},
  organization={CLEF}
}

@inproceedings{zangerle_ismir20,
 author = {Liu, Meijun and Zangerle, Eva and Hu, Xiao and Melchiorre, Alessandro and Schedl, Markus},
 booktitle = {Proceedings of the 21st International Society for Music Information Retrieval Conference 2020 (ISMIR
2020)},
 month = {10},
 pages = {157-165},
 title = {Pandemics, Music, and Collective Sentiment: Evidence from the Outbreak of COVID-19},
 year = {2020}
}

@inproceedings{mediaeval2020conspiracy,
 author = {Moosleitner, Manfred and Murauer, Benjamin and Specht, Günther},
 booktitle = {Working Notes Proceedings of the MediaEval 2020 Workshop},
 month = {12},
 publisher = {ceur-ws.org},
 title = {Detecting Conspiracy Tweets using Support Vector Machines},
 year = {2020}
}

@inproceedings{mediaeval2020,
 author = {Michael Vötter and Maximilian Mayerl and Günther Specht and Eva Zangerle},
 booktitle = {Working Notes Proceedings of the MediaEval 2020 Workshop},
 month = {12},
 publisher = {ceur-ws.org},
 title = {Recognizing Song Mood and Theme: Leveraging Ensembles of Tag Groups},
 year = {2020}
}

@inproceedings{mayerl2020comparing,
  title={Comparing Lyrics Features for Genre Recognition},
  author={Mayerl, Maximilian and V{\"o}tter, Michael and Moosleitner, Manfred and Zangerle, Eva},
  booktitle={Proceedings of the 1st Workshop on NLP for Music and Audio (NLP4MusA)},
  pages={73--77},
  year={2020}
}

@inproceedings{neurips_creativity19,
title = {{Creating GANs for generating poems, lyrics and metaphors}},
author = {Asir Saeed and Suzana Ilic and Eva Zangerle},
year = {2019},
booktitle = {{NeurIPS Machine Learning for Creativity and Design Workshop},
url = {https://neurips2019creativity.github.io/}}
}

@inproceedings{tschuggnall-etal-2019-reduce,
    title = "Reduce {\textbackslash}{\&} Attribute: Two-Step Authorship Attribution for Large-Scale Problems",
    author = {Tschuggnall, Michael  and
      Murauer, Benjamin  and
      Specht, G{\"u}nther},
    booktitle = "Proceedings of the 23rd Conference on Computational Natural Language Learning (CoNLL)",
    month = nov,
    year = "2019",
    address = "Hong Kong, China",
    publisher = "Association for Computational Linguistics",
    url = "https://www.aclweb.org/anthology/K19-1089",
    doi = "10.18653/v1/K19-1089",
    pages = "951--960",
}

@inproceedings{zangerle_ismir19,
title = {{Hit Song Prediction: Leveraging Low- and High-Level Audio Features}},
author = {Eva Zangerle and Ramona Huber and Michael V\"{o}tter and  Yi-Hsuan Yang},
year = {2019},
pages = {319--326},
booktitle = {{Proceedings of the 20th International Society for Music Information Retrieval Conference 2019 (ISMIR 2019)}},
url = {http://archives.ismir.net/ismir2019/paper/000037.pdf}
}

@InProceedings{zangerle:2019,
  author =              {Eva Zangerle and Michael Tschuggnall and G{\"{u}}nther Specht and Martin Potthast and Benno Stein},
  booktitle =           {{CLEF 2019 Labs and Workshops, Notebook Papers}},
  crossref =            {pan:2019},
  editor =              {Linda Cappellato and Nicola Ferro and {David {E.}} Losada and Henning M{\"{u}}ller},
  month =               sep,
  publisher =           {CEUR-WS.org},
  title =               {{Overview of the Style Change Detection Task at PAN 2019}},
  url =                 {http://ceur-ws.org/Vol-2380/},
  year =                {2019}
}

@inproceedings{DBLP:conf/clef/DaelemansKMPPRS19,
author = {Walter Daelemans and
Mike Kestemont and
Enrique Manjavacas and
Martin Potthast and
Francisco M. Rangel Pardo and
Paolo Rosso and
G{\"{u}}nther Specht and
Efstathios Stamatatos and
Benno Stein and
Michael Tschuggnall and
Matti Wiegmann and
Eva Zangerle},
title = {Overview of {PAN} 2019: Bots and Gender Profiling, Celebrity Profiling,
Cross-Domain Authorship Attribution and Style Change Detection},
booktitle = {{Experimental {IR} Meets Multilinguality, Multimodality, and Interaction
- 10th International Conference of the {CLEF} Association, {CLEF}
2019, Lugano, Switzerland, September 9-12, 2019, Proceedings}},
pages = {402--416},
year = {2019},
doi = {10.1007/978-3-030-28577-7_30},
series = {Lecture Notes in Computer Science},
volume = {11696},
publisher = {Springer},
}

@inproceedings{bauer2019leveraging,
  title={Leveraging Multi-Method Evaluation for Multi-Stakeholder Settings},
  author={Bauer, Christine and Zangerle, Eva},
  year={2019},
  booktitle = {{Proceedings of the 1st Workshop on the Impact of Recommender Systems
co-located with 13th ACM Conference on Recommender Systems (ACM RecSys 2019)}},
  publisher = {ceur-ws.org},
}

@InProceedings{10.1007/978-3-030-28577-7_7,
author="Murauer, Benjamin
and Specht, G{\"u}nther",
editor="Crestani, Fabio
and Braschler, Martin
and Savoy, Jacques
and Rauber, Andreas
and M{\"u}ller, Henning
and Losada, David E.
and Heinatz B{\"u}rki, Gundula
and Cappellato, Linda
and Ferro, Nicola",
title="Generating Cross-Domain Text Classification Corpora from Social Media Comments",
booktitle="20th Conference and Labs of the Evaluation Forum (CLEF'2019)",
year="2019",
publisher="Springer International Publishing",
address="Cham",
pages="114--125",
isbn="978-3-030-28577-7"
}

@article{coassin2019comprehensive,
  title={A Comprehensive Map Of The Variability In The Lipoprotein (A) Kiv 2 Repeat Region And Follow-Up Of The Kiv-2 Arg20ter Mutation In 11,000 Individuals},
  author={Coassin, S and Sch{\"o}nherr, S and Weissensteiner, H and Erhart, G and Di Maio, S and Forer, L and Lamina, C and Peters, A and Thorand, B and Eckardt, KU and others},
  journal={Atherosclerosis},
  volume={287},
  pages={e58},
  year={2019},
  publisher={Elsevier},
  doi = {10.1016/j.atherosclerosis.2019.06.164}
}

@inproceedings{DBLP:conf/wikis/SchmidtZ19,
author = {Manuel Schmidt and
Eva Zangerle},
title = {{Article Quality Classification on Wikipedia: Introducing Document
Embeddings and Content Features}},
booktitle = {{Proceedings of the 15th International Symposium on Open Collaboration,
OpenSym 2019, Sk{\"{o}}vde, Sweden, August 20-22, 2019}},
pages = {13:1--13:8},
year = {2019},
crossref = {DBLP:conf/wikis/2019},
url = {https://doi.org/10.1145/3306446.3340831},
doi = {10.1145/3306446.3340831},
publisher = {{ACM}},
year = {2019},
url = {https://dl.acm.org/citation.cfm?id=3306446},
isbn = {978-1-4503-6319-8},
}

@inproceedings{gvdb2019_2,
  author    = {Michael V{\"{o}}tter and
               Eva Zangerle and
               Maximilian Mayerl and
               G{\"{u}}nther Specht},
  title     = {Autoencoders for Next-Track-Recommendation},
  booktitle = {Proceedings of the 31st GI-Workshop Grundlagen von Datenbanken (GvDB 2019), Saarburg,
               Germany, June 11-14, 2019.},
  pages     = {20--25},
  year      = {2019},
  url       = {http://ceur-ws.org/Vol-2367/paper\_2.pdf},
}

@inproceedings{gvdb1019_1,
  author    = {Maximilian Mayerl and
               Michael V{\"{o}}tter and
               Eva Zangerle and
               G{\"{u}}nther Specht},
  title     = {Language Models for Next-Track Music Recommendation},
  booktitle = {Proceedings of the 31st GI-Workshop Grundlagen von Datenbanken (GvDB 2019), Saarburg,
               Germany, June 11-14, 2019.},
  pages     = {15--19},
  year      = {2019},
  url       = {http://ceur-ws.org/Vol-2367/paper\_1.pdf},
}

@InProceedings{10.1007/978-3-030-15719-7_28,
author="Tschuggnall, Michael
and Gerrier, Thibault
and Specht, G{\"u}nther",
editor="Azzopardi, Leif
and Stein, Benno
and Fuhr, Norbert
and Mayr, Philipp
and Hauff, Claudia
and Hiemstra, Djoerd",
title="StyleExplorer: A Toolkit for Textual Writing Style Visualization",
booktitle="Proceedings of the 41th European Conference on Information Retrieval (ECIR 2019): Advances in Information Retrieval",
year="2019",
publisher="Springer International Publishing",
address="Cham",
pages="220--224",
isbn="978-3-030-15719-7"
}

@inproceedings{kessler2019relax,
	Address = {Rostock, Germany},
	Author = {Johannes Kessler, Michael Tschuggnall and G{\"u}nther Specht},
	Booktitle = {Proceedings of the 18th Fachtagung des GI-Fachbereichs Datenbanksysteme f{\"u}r Business, Technologie und Web (BTW)},
	Date-Added = {2019-03-26 13:34:11 +0100},
	Date-Modified = {2019-03-26 13:36:35 +0100},
	Month = {March},
	Pages = {503-506},
	Publisher = {GI},
	Series = {LNI},
	Title = {{RelaX: A Webbased Execution and Learning Tool for Relational Algebra}},
	Year = {2019}}

@article{doi:10.1002/bate.201800092,
author = {Fröch, Georg and Gächter, Werner and Tautschnig, Arnold and Specht, Günther},
title = {Merkmalserver im Open-BIM-Prozess},
journal = {Bautechnik},
doi = {10.1002/bate.201800092},
url = {https://onlinelibrary.wiley.com/doi/abs/10.1002/bate.201800092},
eprint = {https://onlinelibrary.wiley.com/doi/pdf/10.1002/bate.201800092},
year= {2019}
}

@inproceedings{hiebelidentifikation,
title={{Zur Identifikation und Verortung von Bergnamen in alpiner Literatur}},
author={Hiebel, Gerald and Hanke, Klaus and Posch, Claudia and Rampl, Gerhard and Gruber, Elisabeth and Mussmann, Andrea and Zangerle, Eva},
booktitle = {{20. Internationale Geodätische Woche Obergurgl 2019}},
publisher = {{VDE Verlag}},
isbn = {978-3-87907-659-8},
pages = {91--100},
year = {2019},
url = {https://www.uibk.ac.at/geometrie-vermessung/gruppe_vermessung_und_geoinformation/geodaetische_wochen/obergurgl_2019/programm_072018.html}
}

@article{Coassin01012019,
author = {Coassin, Stefan and Schönherr, Sebastian and Weissensteiner, Hansi and Erhart, Gertraud and Forer, Lukas and Losso, Jamie Lee and Lamina, Claudia and Haun, Margot and Utermann, Gerd and Paulweber, Bernhard and Specht, Günther and Kronenberg, Florian}, 
title = {A comprehensive map of single-base polymorphisms in the hypervariable LPA kringle IV type 2 copy number variation region},
volume = {60}, 
number = {1}, 
pages = {186-199}, 
year = {2019}, 
doi = {10.1194/jlr.M090381}, 
URL = {http://www.jlr.org/content/60/1/186.abstract}, 
eprint = {http://www.jlr.org/content/60/1/186.full.pdf+html}, 
journal = {Journal of Lipid Research} 
}

@inproceedings{mediaeval19_tai,
 author = {Hsiao-Tzu Hung and Yu-Hua Chen and Maximilian Mayerl and Michael Vötter and Eva Zangerle and Yi-Hsuan Yang},
 booktitle = {Working Notes Proceedings of the MediaEval 2019 Workshop},
 month = {12},
 publisher = {ceur-ws.org},
 title = {MediaEval 2019 Emotion and Theme Recognition task: A VQ-VAE Based Approach},
 year = {2019}
}

@inproceedings{mediaeval19_inn,
 author = {Maximilian Mayerl and Michael Vötter and Hsiao-Tzu Hung and Boyu Chen and Yi-Hsuan Yang and Eva Zangerle},
 booktitle = {Working Notes Proceedings of the MediaEval 2019 Workshop},
 month = {12},
 publisher = {ceur-ws.org},
 title = {Recognizing Song Mood and Theme Using Convolutional Recurrent Neural Networks},
 year = {2019}
}

@inproceedings{stamatatos2018overview,
  title={Overview of PAN-2018: Author Identification, Author Profiling, and Author Obfuscation},
  author={Stamatatos, Efstathios and Rangel, Francisco and Tschuggnall, Michael and Kestemont, Mike and Rosso, Paolo and Stein, Benno and Potthast, Martin},
  booktitle={Experimental IR Meets Multilinguality, Multimodality, and Interaction. 9th International Conference of the CLEF Initiative (CLEF 18). Springer, Berlin Heidelberg New York (Sep 2018)},
  year={2018}
}

@article{kestemont2018overview,
  title={Overview of the author identification task at PAN-2018: cross-domain authorship attribution and style change detection},
  author={Kestemont, M and Tschuggnall, M and Stamatatos, E and Daelemans, W and Specht, G and Stein, B and Potthast, M},
  journal={Working Notes Papers of the CLEF},
  year={2018}
}

@article{murauer2018dynamic,
  title={Dynamic Parameter Search for Cross-Domain Authorship Attribution},
  author={Murauer, Benjamin and Tschuggnall, Michael and Specht, G{\"u}nther},
  journal={Working Notes of CLEF},
  year={2018}
}

@inproceedings{zangerle_ismir18,
title = {Content-based User Models: Modeling the Many Faces of Musical Preference},
author = {Eva Zangerle and Martin Pichl},
editor = {Emilia Gomez and Xiao Hu and Eric Humphrey and Emmanouil Benetos},
year = {2018},
date = {2018-09-22},
booktitle = {Proceedings of the 19th International Society for Music Information Retrieval Conference 2018 (ISMIR 2018)},
pages = {709--716}
}

@inproceedings{8516495,
title = {Latent Feature Combination for Multi-Context Music Recommendation},
author = {Martin Pichl and Eva Zangerle},
doi = {10.1109/CBMI.2018.8516495},
year = {2018},
date = {2018-09-01},
booktitle = {2018 International Conference on Content-Based Multimedia Indexing (CBMI)},
pages = {1-6},
abstract = {In recent years, music aficionados have increasingly been consuming music via public music streaming platforms. Due to the size of the collections provided, music recommender systems have become a vital component as these aim to provide recommendations that match the user's current context as, throughout the day, users listen to music in numerous different contexts and situations. In this paper, we propose a multi-context-aware track recommender system that jointly exploits information about the current situation and musical preferences of users. To jointly model users by their situational and musical preferences, we cluster users based on their situational features and similarly, cluster music tracks based on their content features. Our experiments show that by relying on Factorization Machines for the computation of recommendations, the proposed approach allows to successfully leverage interaction effects between listening histories, situational and track content information, substantially outperforming a set of baseline recommenders.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}

@inproceedings{cmc18,
title = {Leiwand Oida: Geolocating Regional Linguistic Variation of German on Twitter},
author = {Bettina Larl and Eva Zangerle},
url = {https://www.uantwerpen.be/images/uantwerpen/container49896/files/proceedings_CMCcorpora2018.pdf},
year = {2018},
date = {2018-09-06},
booktitle = {Proceedings of the 6th Conference on Computer-Mediated Communication (CMC) and Social Media Corpora (CMC-corpora 2018)},
}

@inproceedings{Celik:2018:UIU:3213586.3226202,
 author = {Celik, Ilknur and Torre, Ilaria and Koceva, Frosina and Bauer, Christine and Zangerle, Eva and Knijnenburg, Bart},
 title = {UMAP 2018 Intelligent User-Adapted Interfaces: Design and Multi-Modal Evaluation (IUadaptMe) Workshop Chairs' Welcome and Organization},
 booktitle = {Adjunct Publication of the 26th Conference on User Modeling, Adaptation and Personalization},
 series = {UMAP '18},
 year = {2018},
 isbn = {978-1-4503-5784-5},
 location = {Singapore, Singapore},
 pages = {137--139},
 numpages = {3},
 url = {http://doi.acm.org/10.1145/3213586.3226202},
 doi = {10.1145/3213586.3226202},
 acmid = {3226202},
 publisher = {ACM},
 address = {New York, NY, USA},
 keywords = {cloud technologies, design, evaluation, intelligent context-aware user interface, intelligent user interfaces, mobile systems, multi-modal evaluation, personalized interaction, recommender systems, semantic technologies, social applications, user modelling, user-adapted systems, workshop},
}

@inproceedings{smc18,
title = {#nowplaying-RS: A New Benchmark Dataset for Building Context-Aware Music Recommender Systems},
author = {Asmita Poddar and Eva Zangerle and Yi-Hsuan Yang },
doi = {10.5281/zenodo.1422565},
year = {2018},
booktitle = {Proceedings of the 15th Sound & Music Computing Conference},
address = {Limassol, Cyprus}
}

@inproceedings{Zangerle:2018:CMR:3209219.3209258,
 author = {Zangerle, Eva and Pichl, Martin and Schedl, Markus},
 title = {Culture-Aware Music Recommendation},
 booktitle = {Proceedings of the 26th Conference on User Modeling, Adaptation and Personalization},
 series = {UMAP '18},
 year = {2018},
 isbn = {978-1-4503-5589-6},
 location = {Singapore, Singapore},
 pages = {357--358},
 numpages = {2},
 url = {http://doi.acm.org/10.1145/3209219.3209258},
 doi = {10.1145/3209219.3209258},
 acmid = {3209258},
 publisher = {ACM},
 address = {New York, NY, USA},
 keywords = {music information retrieval, recommender systems, user modeling},
} 

@inproceedings{DBLP:conf/sigir/PichlPZ18,
  author    = {Martin Pichl and
               Bernward Pichl and
               Eva Zangerle},
  title     = {Carl: Sports Award Recommender},
  booktitle = {The {SIGIR} 2018 Workshop On eCommerce co-located with the 41st International
               {ACM} {SIGIR} Conference on Research and Development in Information
               Retrieval {(SIGIR} 2018), Ann Arbor, Michigan, USA, July 12, 2018.},
  year      = {2018},
  url       = {http://ceur-ws.org/Vol-2319/paper11.pdf},
  series    = {{CEUR} Workshop Proceedings},
  volume    = {2319},
  urn       = {urn:nbn:de:0074-2319-2},
  publisher = {CEUR-WS.org},
}

@inproceedings{Binna:2018:HHO:3183713.3196896,
 author = {Binna, Robert and Zangerle, Eva and Pichl, Martin and Specht, G\"{u}nther and Leis, Viktor},
 title = {HOT: A Height Optimized Trie Index for Main-Memory Database Systems},
 booktitle = {Proceedings of the 2018 International Conference on Management of Data},
 series = {SIGMOD '18},
 year = {2018},
 isbn = {978-1-4503-4703-7},
 location = {Houston, TX, USA},
 pages = {521--534},
 numpages = {14},
 url = {http://doi.acm.org/10.1145/3183713.3196896},
 doi = {10.1145/3183713.3196896},
 acmid = {3196896},
 publisher = {ACM},
 address = {New York, NY, USA},
 keywords = {height optimized trie, index, main memory, simd},
} 

@inproceedings{DBLP:conf/ecir/zangerle17,
title = {ALF-200k: Towards Extensive Multimodal Analyses of Music Tracks and Playlists},
author = {Eva Zangerle and Michael Tschuggnall and Stefan Wurzinger and Günther Specht},
doi = {10.1007/978-3-319-76941-7_48},
isbn = {978-3-319-76941-7},
year = {2018},
date = {2018-01-01},
booktitle = {Advances in Information Retrieval - 39th European Conference on IR Research, ECIR 2018},
pages = {584--590},
publisher = {Springer},
address = {Cham},
abstract = {In recent years, approaches in music information retrieval have been based on multimodal analyses of music incorporating audio as well as lyrics features. Because most of those approaches are lacking reusable, high-quality datasets, in this work we propose ALF-200k, a publicly available, novel dataset including 176 audio and lyrics features of more than 200,000 tracks and their attribution to more than 11,000 user-created playlists. While the dataset is of general purpose and thus, may be used in experiments for diverse music information retrieval problems, we present a first multimodal study on playlist features and particularly analyze, which type of features are shared within specific playlists and thus, characterize it. We show that while acoustic features act as the major glue between tracks contained in a playlists, also lyrics features are a powerful means to attribute tracks to playlists.}
}

@inproceedings{Murauer:2018:DMG:3184558.3191822,
 author = {Murauer, Benjamin and Specht, G\"{u}nther},
 title = {Detecting Music Genre Using Extreme Gradient Boosting},
 booktitle = {Companion of the The Web Conference 2018 on The Web Conference 2018},
 series = {WWW '18},
 year = {2018},
 isbn = {978-1-4503-5640-4},
 location = {Lyon, France},
 pages = {1923--1927},
 numpages = {5},
 url = {https://doi.org/10.1145/3184558.3191822},
 doi = {10.1145/3184558.3191822},
 acmid = {3191822},
 publisher = {International World Wide Web Conferences Steering Committee},
 address = {Republic and Canton of Geneva, Switzerland},
 keywords = {gradient boosting, music classification, neural network},
} 

@incollection{wikiworkshop18,
title = {Recommendation-Assisted Data Curation for Wikidata},
author = {Eva Zangerle and Claudia Müller-Birn},
doi = {10.5281/zenodo.1194790},
year = {2018},
date = {2018-04-24},
booktitle = {Wiki Workshop 2018 co-located with The Web Conference}
}

@Article{Specht2018,
author="Specht, G{\"u}nther",
title="Die Forschungsgruppe Datenbanken und Informationssysteme an der Universit{\"a}t Innsbruck",
journal="Datenbank-Spektrum",
year="2018",
month="Mar",
day="01",
volume="18",
number="1",
pages="51--56",
abstract="In diesem Beitrag wird die Forschungsgruppe Datenbanken und Informationssysteme der Universit{\"a}t Innsbruck vorgestellt. Dabei wird ein {\"U}berblick {\"u}ber das Umfeld, die aktuellen Forschungsthemen und die Lehraktivit{\"a}ten gegeben.",
issn="1610-1995",
doi="10.1007/s13222-018-0278-9",
url="https://doi.org/10.1007/s13222-018-0278-9"
}

@inproceedings{Murauer2018Translation,
  title={{On the Influence of Machine Translation on Language Origin Obfuscation}},
  author={Murauer, Benjamin and Tschuggnall, Michael and Specht, G\"unther},
  year={2018},
  location={Hanoi, Vietnam},
  booktitle={Proceedings of the 18th International Conference on Computational Linguistics and Intelligent Text Processing (CICLing'2018)},
  month=3,

}

@inproceedings{milc2018,
title = {geMsearch: Personalized Explorative Music Search},
author = {Christian Esswein and Markus Schedl and Eva Zangerle},
url = {http://ceur-ws.org/Vol-2068/milc2.pdf},
year = {2018},
date = {2018-03-11},
booktitle = {Joint Proceedings of the ACM IUI 2018 Workshops co-located with the 23rd ACM Conference on Intelligent User Interfaces (ACM IUI 2018)},
publisher = {ceur-ws.org},
abstract = {Due to the rise of music streaming platforms, huge collections of music are now available to users on various devices. Within these collections, users aim to find and explore songs based on certain criteria reflecting their current and context-specific preferences. Currently, users are limited to either using search facilities or relying on recommender systems that suggest suitable tracks or artists. Using search facilities requires the user to have some idea about the targeted music and to formulate a query that accurately describes this music, whereas recommender systems are traditionally geared towards long-term shifts of user preferences in contrast to ad-hoc and interactive preference elicitation. To bridge this gap, we propose geMsearch, an approach for personalized, explorative music search based on graph embedding techniques. As the ecosystem of a music collection can be represented as a heterogeneous graph containing nodes describing e.g., tracks, artists, genres or users, we employ graph embedding techniques to learn low-dimensional vector representations for all nodes within the graph. This allows for efficient approximate querying of the collection and, more importantly, for employing visualization strategies that allow the user to explore the music collection in a 3D-space.}
}

@PHDTHESIS {pichl2018-diss,
    author = {Martin Pichl},
    title  = {{Multi-Context-Aware Recommender Systems: A Study on Music Recommendation}},
    school = {University of Innsbruck, Department of Computer Science},
    year   = {2018},
    month  = {feb}
}

@article{freebim2017,
  author={Specht, G{\"u}nther and Breuss, Rainer},
  title={{Der freeBIM Merkmalserver}},
  booktitle={Beton-Kalender},
  pages={363--366},
  volume={1},
  url={https://www.ernst-und-sohn.de/beton-kalender-2018},
  year={2018},
}

@inproceedings{bauerinformation,
  title={Information Imbalance and Responsibility in Recommender Systems},
  author={Bauer, Christine and Zangerle, Eva},
  booktitle = {Workshop Proceeding of the 2nd Workshop on Green (Responsible, Ethical and Social) IT and IS ? the Corporate Perspective (GRES-IT/IS)},
  type = {Working Papers on Information Systems, Information Business and Operations},
  year = {2018},
  organization = {Department f{\"u}r Informationsverarbeitung und Prozessmanagement, WU Vienna University of Economics and Business},
  url = {https://epub.wu.ac.at/7681/},
}

@online{dha17_semohi,
title = {Semantics for Mountaineering History},
author = {Gerald Hiebel and Claudia Posch and Gerhard Rampl and Elisabeth Gruber and Klaus Hanke and Eva Zangerle},
url = {https://www.uibk.ac.at/congress/dha2017/bilder-und-dateien/semantics-for-mountaineering-history.pdf},
year = {2017},
month = {12},
date = {2017-12-06},
organization = {4th Digital Humanities Austria Conference},
howpublished = {4th Digital Humanities Austria Conference },
keywords = {},
tppubtype = {online}
}

@inproceedings{sympmm,
title = {Mining Culture-Specific Music Listening Behavior from Social Media Data},
author = {Pichl, Martin and Zangerle, Eva and Specht, G\"unther and Markus Schedl},
doi = {10.1109/ISM.2017.35},
isbn = {978-1-5386-2937-6/17},
year = {2017},
booktitle = {IEEE International Symposium on Multimedia, ISM 2017, Taichung, Taiwan, December 11-13, 2017},
pages = {208--215},
publisher = {IEEE Computer Society}
}

@online{dha17_lyrics,
title = {Analyzing Coherent Characteristics in Music Playlists},
author = {Eva Zangerle and Michael Tschuggnall and Stefan Wurzinger and G\"{u}nther Specht},
year = {2017},
date = {2017-12-06},
organization = {4th Digital Humanities Austria Conference},
howpublished = {4th Digital Humanities Austria Conference},
url = {https://www.uibk.ac.at/congress/dha2017/bilder-und-dateien/poster_zangerle.pdf}
}

@online{dha17_archive,
title = {Visualization Strategies for Digital Archives. The Case of the Ernst-von-Glasersfeld-Archive},
author = {Barbara Laner and Andy Stauder and Eva Zangerle and Theo Hug},
year = {2017},
date = {2017-12-06},
journal = {4th Digital Humanities Austria Conference },
organization = {4th Digital Humanities Austria Conference},
keywords = {},
pubstate = {published},
tppubtype = {online}
}

@inproceedings{Silbernagl:2017:ROT:3148150.3148159,
 author = {Silbernagl, Doris and Krismer, Nikolaus and Augsten, Nikolaus and Specht, G\"{u}nther},
 title = {Recommending OSM Tags To Improve Metadata Quality},
 booktitle = {Proceedings of the 1st ACM SIGSPATIAL Workshop on Recommendations for Location-based Services and Social Networks},
 series = {LocalRec'17},
 year = {2017},
 isbn = {978-1-4503-5499-8},
 location = {Redondo Beach, CA, USA},
 pages = {6:1--6:10},
 articleno = {6},
 numpages = {10},
 url = {http://doi.acm.org/10.1145/3148150.3148159},
 doi = {10.1145/3148150.3148159},
 acmid = {3148159},
 publisher = {ACM},
 address = {New York, NY, USA},
 keywords = {OpenStreetMap, Recommendation, Set Similarity, Top-k Retrieval},
} 

@PHDTHESIS {silbernagl2017-diss,
    author = {Doris Silbernagl},
    title  = {{Quality analyses and improvement in geographical information systems in the special case of OpenStreetMap}},
    school = {University of Innsbruck, Department of Computer Science},
    year   = {2017},
    month  = {nov}
}

@PHDTHESIS {krismer2017-diss,
    author = {Nikolaus Krismer},
    title  = {{Enhancing Isochrones in Multimodal Spatial Networks}},
    school = {University of Innsbruck, Department of Computer Science},
    year   = {2017},
    month  = {nov}
}

@incollection{tschuggnall2017:iup,
	Author = {Michael Tschuggnall},
	Booktitle = {{Medien und Glaubw\"urdigkeit: Interdisziplin\"are Perpektiven auf neue Herausforderungen im medialen Diskurs}},
	Date-Added = {2017-10-31 09:54:00 +0000},
	Date-Modified = {2017-10-31 10:02:07 +0000},
	Editor = {Sandra Mauler, Heike Ortner and Ulrike Pfeiffenberger},
	Pages = {131--140},
	Publisher = {Innsbruck University Press},
	Title = {{Automatisierte Plagiatserkennung in Textdokumenten: Was der Schreibstil eines Autors {\"u}ber die Echtheit verr\"at}},
	Year = {2017}}

@PHDTHESIS {weißensteiner-diss,
    author = {Hansi Weißensteiner},
    title  = {{Scalable data analysis of mitochondrial DNA in the era of high-throughput data generation}},
    school = {University of Innsbruck, Department of Computer Science},
    year   = {2017},
    month  = {oct}
}

@misc{wikidatacon17,
title = {Employing Wikidata for Fostering Scholarly Research},
author = {Adelheid Heftberger and Jakob H\"{o}per and Claudia M\"{u}ller-Birn and Niels-Oliver Walkowski and Eva Zangerle},
year = {2017},
note = {WikiDataCon 2017, Berlin, available online at https://www.wikidata.org/wiki/Wikidata:WikidataCon_2017/Submissions/Employing_Wikidata_for_Fostering_Scholarly_Research},
howpublished = {online}
}

@article{Murauer2017Genre,
  title={Hierarchical Multilabel Classification and Voting for Genre Classification},
  author={Murauer, Benjamin and Mayerl, Maximilian and Tschuggnall, Michael and Zangerle, Eva and Pichl, Martin and Specht, G{\"u}nther},
  booktitle={CEURS Working Notes Proceedings of the MediaEval 2017 Workshop},
  publisher={CEUR-WS.org},
  city={Dublin, Ireland},
  year={2017},
  url={http://ceur-ws.org/Vol-1984/Mediaeval_2017_paper_41.pdf},
}

@inproceedings{namenstagung17,
 author = {Gerald Hiebel and Gerhard Rampl and Claudia Posch and Elisabeth Gruber and Eva Zangerle},
 booktitle = {Mainzer Namenstagung 2017: Toponyme - eine Standortbestimmung},
 title = {Bergnamen – Bergwelten. Toponymie im (Kon-)Text},
 year = {2017}
}

@PHDTHESIS {gassler2017-diss,
    author = {Wolfgang Gassler},
    title  = {{The SnoopyConcept: Leveraging Recommendations for Knowledge Curation}},
    school = {University of Innsbruck, Department of Computer Science},
    year   = {2017},
    month  = {aug}
}

@inproceedings{krismer2017computing,
  title={Computing Isochrones in Multimodal Spatial Networks using Tile Regions},
  author={Krismer, Nikolaus and Silbernagl, Doris and Specht, G{\"u}nther and Gamper, Johann},
  booktitle={Proceedings of the 29th International Conference on Scientific and Statistical Database Management},
  pages={33},
  year={2017},
  organization={ACM}
}

@article{tschuggnall2017overview,
  title={Overview of the Author Identification Task at PAN 2017: Style Breach Detection and Author Clustering},
  author={Tschuggnall, Michael and Stamatatos, Efstathios and Verhoeven, Ben and Daelemans, Walter and Specht, G{\"u}nther and Stein, Benno and Potthast, Martin},
  journal={Working Notes Papers of the CLEF},
  year={2017}
}

@inproceedings{potthast2017overview,
  title={Overview of PAN’17: Author Identification, Author Profiling, and Author Obfuscation},
  author={Potthast, M and Rangel, F and Tschuggnall, M and Stamatatos, E and Rosso, P and Stein, B},
  booktitle={Experimental IR Meets Multilinguality, Multimodality, and Interaction. 8th International Conference of the CLEF Initiative (CLEF 17). Springer, Berlin Heidelberg New York (Sep 2017)},
  year={2017}
}

@misc{larl_cl17,
  author    = {Bettina Larl and Eva Zangerle},
  title     = {Geolocating German on Twitter Hitches and Glitches of Building and Exploring a Twitter Corpus},
  booktitle = {The 9th International Corpus Linguistics Conference (July 24-28)},
  publisher = {University of Birmingham},
  year      = {2017},
  howpublished = {online},
  url       = {http://www.birmingham.ac.uk/Documents/college-artslaw/corpus/conference-archives/2017/general/paper321.pdf},
}

@inproceedings{Pichl:2017:ICM:3078971.3078980,
 author = {Pichl, Martin and Zangerle, Eva and Specht, G\"{u}nther},
 title = {Improving Context-Aware Music Recommender Systems: Beyond the Pre-filtering Approach},
 booktitle = {Proceedings of the 2017 ACM on International Conference on Multimedia Retrieval},
 series = {ICMR '17},
 year = {2017},
 isbn = {978-1-4503-4701-3},
 location = {Bucharest, Romania},
 pages = {201--208},
 numpages = {8},
 url = {http://doi.acm.org/10.1145/3078971.3078980},
 doi = {10.1145/3078971.3078980},
 acmid = {3078980},
 publisher = {ACM},
 address = {New York, NY, USA},
 keywords = {context, personalization, recommender systems, user modeling},
} 

@inproceedings{dha_panel17,
 author = {Hiebel, Gerald and Posch, Claudia and Rampl, Gerhard and Zangerle, Eva },
 booktitle = {4th Digital Humanities Austria Conference - dha2017. Abstracts},
 publisher = {Eigenverlag, Universität Innsbruck},
 title = {Building Bridges - Corpus Linguistics and Digital Humanities},
 url = {https://www.uibk.ac.at/congress/dha2017/bilder-und-dateien/hiebel_posch_rampl_zangerle_panel_proposal_dha.pdf},
 year = {2017}
}

@inProceedings{hicss17,
booktitle ={{50th Hawaii International Conference on System Sciences, {HICSS} 2017, Big Island, Hawaii, USA, January 4-7, 2017}},
title = {{A Peer-Based Approach on Analyzing Hacked Twitter Accounts}},
publisher = {IEEE},
year = {2017},
month = {January},
pages = {1841--1850},
author = {Murauer, Benjamin and Zangerle, Eva and and Specht, G\"unther},
}

@Article{coassin,
  author    = {Coassin, Stefan and Erhart, Gertraud and Weissensteiner, Hansi and Guimaraes de Araujo, Mariana Eca and Lamina, Claudia and Sch\"onherr, Sebastian and Forer, Lukas and Haun, Margot and Lee Losso, Jamie and K\"ottgen, Anna and Uterman, Gerd and Peters, Annette and Gieger, Christian and Strauch, Konstantin and Finkenstedt, Armin and Bale, Reto and Zoller, Heinz and Paulweber, Bernhard and Eckardt, Kai-Uwe and H\"uttenhofer, Alexander and Huber, Lukas and Kronenberg, Florian},
  title     = {A novel but frequent variant in LPA KIV-2 is associated with a pronounced Lp(a) and cardiovascular risk reduction},
  journal   = {European Heart Journal - in press},
  year      = {2017},
  publisher = {Wiley Online Library},
}

@article{ijmdem17,
	author = {Martin Pichl and
	Eva Zangerle and
	G{\"{u}}nther Specht},
	title = {Understanding User-curated Playlists on Spotify: A Machine Learning Approach},
	journal = {International Journal of Multimedia Data Engineering and Management {IJMDEM}},
	volume = {8},
	number = {4}, 
	year = {2017}
}

@INPROCEEDINGS{stein2016j,
        AUTHOR             = {Efstathios Stamatatos and Michael Tschuggnall and Ben Verhoeven and Walter Daelemans and Guenther Specht and Benno Stein and Martin Potthast},
        BOOKTITLE          = {Working Notes Papers of the CLEF 2016 Evaluation Labs},
        ISSN               = {1613-0073},
        MONTH              = sep,
        PUBLISHER          = {CLEF and CEUR-WS.org},
        SERIES             = {CEUR Workshop Proceedings},
        TITLE              = {{Clustering by Authorship Within and Across Documents}},
        URL                = {http://ceur-ws.org/Vol-1609/},
        YEAR               = {2016},
pages = {691--715}
}

@inProceedings{cmc16,
title = {Geolocating German on Twitter
Hitches and Glitches of Building and Exploring a Twitter Corpus},
booktitle = {4th Conference on CMC and Social Media Corpora for the Humanities (CMC-Corpora2016; Sep 2016, Ljubljana, Slovenia)},
year = {2016},
month = sep,
author = {Larl, Bettina and Zangerle, Eva},
}

@INPROCEEDINGS{stein:2016i,
        ADDRESS            = {Berlin Heidelberg New York},
        AUTHOR             = {Paolo Rosso and Francisco Rangel and Martin Potthast and Efstathios Stamatatos and Michael Tschuggnall and Benno Stein},
        BOOKTITLE          = {Experimental IR Meets Multilinguality, Multimodality, and Interaction. 7th International Conference of the CLEF Initiative (CLEF 16)},
        DOI                = {10.1007/978-3-319-44564-9_28},
        EDITOR             = {Norbert Fuhr and Paulo Quaresma and Birger Larsen and Teresa Gon{\c c}alves and Krisztian Balog and Craig Macdonald and Linda Cappellato and Nicola Ferro},
        ISBN               = {978-3-319-44564-9},
        MONTH              = sep,
        PAGES              = {},
        PUBLISHER          = {Springer},
        TITLE              = {{Overview of PAN'16---New Challenges for Authorship Analysis: Cross-genre Profiling, Clustering, Diarization, and Obfuscation}},
        YEAR               = {2016}
}

@INBOOK {tschuggnall-ats100,
    author        = "Michael Tschuggnall and G{\"u}nther Specht and Christian Riepl",
    title         = "{Algorithmisch unterst{\"u}tzte Literarkritik: Eine grammatikalische Analyse zur Bestimmung von Schreibstilen}",
    publisher     = "EOS-Verlag",
    year          = "2016",
    date-added    = "2017-01-19 10:39:47 +0000",
    date-modified = "2017-01-19 10:45:43 +0000",
    editor        = "H. Rechenmacher",
    book          = "Arbeiten zu Text und Sprache im Alten Testament, In Memoriam Wolfgang Richter",
    chapter       = "100. Band (ATS 100)",
    pages         = "415-428"
}

@inProceedings{hicss16,
booktitle ={{49th Hawaii International Conference on System Sciences, {HICSS} 2016, Kauai, Hawaii, USA, January 5-8, 2016}},
title = {{Analysing the Usage of Wikipedia on Twitter: Understanding Inter-Language Links}},
pages = {1920--1929},
publisher = {IEEE},
year = {2016},
month = jan,
author = {Zangerle, Eva and Schmidhammer, Georg and Specht, G\"unther}
}

@inproceedings{DBLP:conf/wikis/ZangerleGPSS16,
  author    = {Eva Zangerle and
               Wolfgang Gassler and
               Martin Pichl and
               Stefan Steinhauser and
               G{\"{u}}nther Specht},
  editor    = {Anthony I. Wasserman},
  title     = {An Empirical Evaluation of Property Recommender Systems for Wikidata
               and Collaborative Knowledge Bases},
  booktitle = {Proceedings of the 12th International Symposium on Open Collaboration,
               OpenSym 2016, Berlin, Germany, August 17-19, 2016},
  pages     = {18:1--18:8},
  publisher = {{ACM}},
  year      = {2016},
  url       = {http://doi.acm.org/10.1145/2957792.2957804},
  doi       = {10.1145/2957792.2957804},
  timestamp = {Mon, 31 Oct 2016 08:29:49 +0100},
  biburl    = {http://dblp.uni-trier.de/rec/bib/conf/wikis/ZangerleGPSS16},
  bibsource = {dblp computer science bibliography, http://dblp.org}
}

@inproceedings{DBLP:conf/wikis/SilbernaglKS16,
  author    = {Doris Silbernagl and
               Nikolaus Krismer and
               G{\"{u}}nther Specht},
  title     = {Comparing {OSM} Area-Boundary Data to DBpedia},
  booktitle = {Proceedings of the 12th International Symposium on Open Collaboration,
               OpenSym 2016, Berlin, Germany, August 17-19, 2016},
  pages     = {11:1--11:4},
  year      = {2016},
  crossref  = {DBLP:conf/wikis/2016},
  url       = {http://doi.acm.org/10.1145/2957792.2957806},
  doi       = {10.1145/2957792.2957806},
  timestamp = {Mon, 31 Oct 2016 08:29:49 +0100},
  biburl    = {http://dblp.uni-trier.de/rec/bib/conf/wikis/SilbernaglKS16},
  bibsource = {dblp computer science bibliography, http://dblp.org}
}

@article{silbernagl2016osmpg2java,
  title={osmpg2java-Konvertierung von OSM Datenbankelementen zu JTS Objekten},
  author={Silbernagl, Doris and Krismer, Nikolaus and Specht, G{\"u}nther},
  journal={Angewandte Geoinformatik AGIT},
  year={2016}
}

@inproceedings{tschuggnall2016plagiarism,
  title={From Plagiarism Detection to Bible Analysis: The Potential of Machine Learning for Grammar-Based Text Analysis},
  author={Tschuggnall, Michael and Specht, G{\"u}nther},
  booktitle={Joint European Conference on Machine Learning and Knowledge Discovery in Databases},
  pages={245--248},
  year={2016},
  organization={Springer}
}

@inproceedings{DBLP:conf/ismir/ZangerlePHS16,
  author    = {Eva Zangerle and
               Martin Pichl and
               Benedikt Hupfauf and
               G{\"{u}}nther Specht},
  editor    = {Michael I. Mandel and
               Johanna Devaney and
               Douglas Turnbull and
               George Tzanetakis},
  title     = {Can Microblogs Predict Music Charts? An Analysis of the Relationship
               Between {\#}Nowplaying Tweets and Music Charts},
  booktitle = {Proceedings of the 17th International Society for Music Information
               Retrieval Conference, {ISMIR} 2016, New York City, United States,
               August 7-11, 2016},
  pages     = {365--371},
  year      = {2016},
  url       = {https://wp.nyu.edu/ismir2016/wp-content/uploads/sites/2294/2016/07/039_Paper.pdf},
  timestamp = {Thu, 08 Sep 2016 13:32:51 +0200},
  biburl    = {http://dblp.uni-trier.de/rec/bib/conf/ismir/ZangerlePHS16},
  bibsource = {dblp computer science bibliography, http://dblp.org},
  publisher = {ISMIR}
}

@article{krismerosmpti2mmds,
  title={osmPti2mmds--Erstellung von multimodalen Daten-sets aus OpenStreetMap und {\"O}PNV-Informationen},
  author={Krismer, Nikolaus and Silbernagl, Doris and Gamper, Johann and Specht, G{\"u}nther}
}

@inProceedings{sympmm16,
title = {{Understanding Playlist Creation on Music Streaming Platforms}},
booktitle = {Proceedings of the IEEE Symposium on Multimedia (ISM)},
publisher = {IEEE},
year = {2016},
author = {Pichl, Martin and Zangerle, Eva and Specht, G\"unther},
pages = {475--480}
}

@Article{HMD310,
author="Zangerle, Eva
and Illecker, Martin
and Specht, G{\"u}nther",
title="SentiStorm: Realtime Sentiment Detection of Tweets",
journal="HMD Praxis der Wirtschaftsinformatik",
year="2016",
volume="53",
number="4",
pages="514--529",
issn="2198-2775",
publisher={Springer},
doi="10.1365/s40702-016-0237-6",
url="http://dx.doi.org/10.1365/s40702-016-0237-6"
}

@article{doi:10.1093/nar/gkw247,
author = {Weissensteiner, Hansi and Forer, Lukas and Fuchsberger, Christian and Schöpf, Bernd and Kloss-Brandstätter, Anita and Specht, Günther and Kronenberg, Florian and Schönherr, Sebastian},
title = {mtDNA-Server: next-generation sequencing data analysis of human mitochondrial DNA in the cloud},
journal = {Nucleic Acids Research},
volume = {44},
number = {W1},
pages = {W64-W69},
year = {2016},
doi = {10.1093/nar/gkw247},
URL = { + http://dx.doi.org/10.1093/nar/gkw247},
eprint = {/oup/backfile/Content_public/Journal/nar/44/W1/10.1093_nar_gkw247/3/gkw247.pdf}
}

@inproceedings{krismer2016elevation,
  title={Elevation Enabled Bicycle Router Supporting User-Profiles.},
  author={Krismer, Nikolaus and Silbernagl, Doris and Malfertheiner, Martin and Specht, G{\"u}nther},
  booktitle={GvD},
  pages={74--79},
  year={2016}
}

@article{doi:10.1093/nar/gkw233,
author = {Weissensteiner, Hansi and Pacher, Dominic and Kloss-Brandstätter, Anita and Forer, Lukas and Specht, Günther and Bandelt, Hans-Jürgen and Kronenberg, Florian and Salas, Antonio and Schönherr, Sebastian},
title = {HaploGrep 2: mitochondrial haplogroup classification in the era of high-throughput sequencing},
journal = {Nucleic Acids Research},
volume = {44},
number = {W1},
pages = {W58--W63},
year = {2016},
doi = {10.1093/nar/gkw233},
URL = { + http://dx.doi.org/10.1093/nar/gkw233},
eprint = {/oup/backfile/Content_public/Journal/nar/44/W1/10.1093_nar_gkw233/3/gkw233.pdf}
}

@inproceedings{DBLP:conf/gvd/SilbernaglKMS16,
  author    = {Doris Silbernagl and
               Nikolaus Krismer and
               Martin Malfertheiner and
               G{\"{u}}nther Specht},
  title     = {Optimization of Digital Elevation Models for Routing},
  booktitle = {Proceedings of the 28th GI-Workshop Grundlagen von Datenbanken, N{\"{o}}rten
               Hardenberg, Germany, May 24-27, 2016.},
  pages     = {103--108},
  year      = {2016},
  crossref  = {DBLP:conf/gvd/2016},
  url       = {http://ceur-ws.org/Vol-1594/paper19.pdf},
  timestamp = {Mon, 30 May 2016 15:09:41 +0200},
  biburl    = {http://dblp.uni-trier.de/rec/bib/conf/gvd/SilbernaglKMS16},
  bibsource = {dblp computer science bibliography, http://dblp.org}
}

@article{forer2016cloudflow,
  title={Cloudflow-enabling faster biomedical pipelines with MapReduce and Spark},
  author={Forer, Lukas and Afgan, Enis and Weissensteiner, Hansi and Davidovic, Davor and Specht, Guenther and Kronenberg, Florian and Schoenherr, Sebastian},
  journal={Scalable Computing: Practice and Experience},
  volume={17},
  number={2},
  pages={103--114},
  year={2016}
}

@article{pacher2016optimizing,
  title={Optimizing large knowledge networks in spatial computers},
  author={Pacher, Dominic and Binna, Robert and Specht, G{\"u}nther},
  journal={The Knowledge Engineering Review},
  volume={31},
  number={4},
  pages={367--390},
  year={2016},
  publisher={Cambridge University Press}
}

@inProceedings{somera15,
author = {Pichl, Martin and Zangerle, Eva and Specht, G\"{u}nther},
title = {Towards a Context-Aware Music Recommendation Approach: What is Hidden in the Playlist Name?},
booktitle = {15th IEEE International Conference on Data Mining Workshops (ICDM 2015)},
series = {ICDM 15},
year = {2015},
location = {Atlantic City},
pages = {1360--1365},
numpages = {6},
month = nov,
publisher = {IEEE},
address = {Piscataway, NJ, USA},
}

@ARTICLE {tschuggnall2015:onthepotential,
    author  = "Michael Tschuggnall and G{\"u}nther Specht",
    title   = "{On the Potential of Grammar Features for Automated Author Profiling}",
    journal = "International Journal On Advances in Intelligent Systems",
    year    = "2015",
    volume  = "8",
    number  = "3\&4",
    pages   = "255-265"
}

@INPROCEEDINGS{7160259,
author={L. Forer and E. Afgan and H. Weißensteiner and D. Davidović and G. Specht and F. Kronenberg and S. Schönherr},
booktitle={2015 38th International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO)},
title={Cloudflow - A framework for MapReduce pipeline development in Biomedical Research},
year={2015},
pages={172-177},
abstract={The data-driven parallelization framework Hadoop MapReduce allows analysing large data sets in a scalable way. Since the development of MapReduce programs can be a time-intensive and challenging task, the application and usage of Hadoop in Biomedical Research is still limited. Here we present Cloudflow, a high-level framework to hide the implementation details of Hadoop and to provide a set of building blocks to create biomedical pipelines in a more intuitive way. We demonstrate the benefit of Cloudflow on three different genetic use cases. It will be shown how the framework can be combined with the Hadoop workflow system Cloudgene and the cloud orchestration platform CloudMan to provide Hadoop pipelines as a service to everyone.},
keywords={cloud computing;data handling;medical computing;parallel processing;CloudMan;Cloudflow;Cloudgene;Hadoop MapReduce;biomedical research;cloud orchestration platform;data-driven parallelization framework;genetic use cases;high-level framework;pipeline development;workflow system;Bioinformatics;Genomics;Information filters;Pipeline processing;Pipelines},
doi={10.1109/MIPRO.2015.7160259},
month={May},}

@inProceedings{sowemine15,
booktitle = {{Current Trends in Web Engineering, 15th International Conference, ICWE 2015 Workshops (Revised Selected Papers)}},
title = {{#nowplaying on #Spotify: Leveraging Spotify Information on Twitter for Artist Recommendations}},
publisher = {Springer},
year = {2015},
pages = {163--174},
author={Pichl, Martin and Zangerle, Eva and Specht, G\"unther}
}

@INCOLLECTION {tschuggnall2015-gid15,
    author    = "Michael Tschuggnall",
    title     = "{Intrinsische Plagiatserkennung und Autorenerkennung mittels Grammatikanalyse}",
    booktitle = "Ausgezeichnete Informatikdissertationen 2014",
    publisher = "Bonner K{\"o}llen Druck+Verlag",
    year      = "2015",
    editor    = "Steffen H{\"o}lldobler",
    volume    = "D-15",
    series    = "GI-Edition – Lecture Notes in Informatics (LNI)",
    pages     = "279-288"
}

@inProceedings{opensym15,
author = {Zangerle, Eva and Schmidhammer, Georg and Specht, G\"{u}nther},
title = {#Wikipedia on Twitter: Analyzing Tweets About Wikipedia},
booktitle = {Proceedings of the 11th International Symposium on Open Collaboration},
series = {OpenSym '15},
year = {2015},
isbn = {978-1-4503-3666-6},
location = {San Francisco, California},
pages = {14:1--14:8},
articleno = {14},
numpages = {8},
url = {http://doi.acm.org/10.1145/2788993.2789845},
doi = {10.1145/2788993.2789845},
acmid = {2789845},
publisher = {ACM},
month = apr,
address = {New York, NY, USA},
keywords = {Twitter, Wikipedia, quantitative study},
}

@article{kloss2015validation,
  title={Validation of next-generation sequencing of entire mitochondrial genomes and the diversity of mitochondrial DNA mutations in oral squamous cell carcinoma},
 author = {Kloss-Brandst{\"{a}}tter, Anita and Weissensteiner, Hansi and Erhart, Gertraud and Sch{\"{a}}fer, Georg and Forer, Lukas and Sch{\"{o}}nherr, Sebastian and Pacher, Dominic and Seifarth, Christof and St{\"{o}}ckl, Andrea and Fendt, Liane and Sottsas, Irma and Klocker, Helmut and Huck, Christian W. and Rasse, Michael and Kronenberg, Florian and Kloss, Frank R.},
  journal={PloS one},
  volume={10},
  number={8},
  pages={e0135643},
  year={2015},
  publisher={Public Library of Science}
}

@book{mysql,
author = {Proell, Stefan and Zangerle, Eva and Gassler, Wolfgang},
title = {MySQL 5.6 - Das umfassende Handbuch},
publisher = {Galileo Computing},
edition = {3rd},
year = {2015},
}

@article{raschenberger2015telomeres,
  title={Do telomeres have a higher plasticity than thought? Results from the German Chronic Kidney Disease (GCKD) study as a high-risk population},
 author = {Raschenberger, Julia and Kollerits, Barbara and Titze, Stephanie and K{\"{o}}ttgen, Anna and B{\"{a}}rthlein, Barbara and Ekici, Arif B. and Forer, Lukas and Sch{\"{o}}nherr, Sebastian and Weissensteiner, Hansi and Haun, Margot and Wanner, Christoph and Eckardt, Kai-Uwe and Kronenberg, Florian},
  journal={Experimental gerontology},
  volume={72},
  pages={162--166},
  year={2015},
  publisher={Pergamon}
}

@article{kehdy2015origin,
  title={Origin and dynamics of admixture in Brazilians and its effect on the pattern of deleterious mutations},
  author={Kehdy, Fernanda SG and Gouveia, Mateus H and Machado, Moara and Magalh{\~a}es, Wagner CS and Horimoto, Andrea R and Horta, Bernardo L and Moreira, Rennan G and Leal, Thiago P and Scliar, Marilia O and Soares-Souza, Giordano B and others},
  journal={Proceedings of the National Academy of Sciences},
  volume={112},
  number={28},
  pages={8696--8701},
  year={2015},
  publisher={National Acad Sciences}
}

@article{raschenberger2015association,
  title={Association of relative telomere length with cardiovascular disease in a large chronic kidney disease cohort: the GCKD study},
author = {Raschenberger, Julia and Kollerits, Barbara and Titze, Stephanie and {Koettgen}, Anna K and Baerthlein, Barbara B  and Ekici, Arif B and Forer, Lukas and Sch, Sebastian and Sch\"onherr, and Weissensteiner, Hansi and Haun, Margot and Wanner, Christoph and Eckardt, Kai-Uwe and Kronenberg, Florian},
  journal={Atherosclerosis},
  volume={242},
  number={2},
  pages={529--534},
  year={2015},
  publisher={Elsevier}
}

@PHDTHESIS {tschuggnall2014-diss,
    author = {Michael Tschuggnall},
    title  = {{Intrinsic Plagiarism Detection and Author Analysis By Utilizing Grammar}},
    school = {University of Innsbruck, Department of Computer Science},
    year   = {2014},
    month  = {dec}
}

@PHDTHESIS {pacher2014-diss,
    author = {Dominic Pacher},
    title  = {{Spatially aware graph stores}},
    school = {University of Innsbruck, Department of Computer Science},
    year   = {2014},
    month  = {nov}
}

@inproceedings{tschuggnall2014automatic,
	Address = {Bozen, Italy},
	Author = {Michael Tschuggnall and G{\"u}nther Specht},
	Booktitle = {Proceedings of the 26th GI-Workshop on Grundlagen von Datenbanken},
	Date-Added = {2014-09-15 09:58:01 +0000},
	Date-Modified = {2014-09-16 08:06:11 +0000},
	Month = {October},
	Publisher = {CEUR-WS},
	Title = {Automatic Decomposition of Multi-Author Documents Using Grammar Analysis},
	Year = {2014}}

@inproceedings{krismer2014incremental,
  title={Incremental Calculation of Isochrones Regarding Duration.},
  author={Krismer, Nikolaus and Specht, G{\"u}nther and Gamper, Johann},
  booktitle={Grundlagen von Datenbanken},
  pages={41--46},
  year={2014},
  month={10}
}

@inproceedings{gvdb14,
author = {Pichl, Martin and Zangerle, Eva and Specht, G\"unther},
booktitle = {Proceedings of the 26nd Workshop Grundlagen von Datenbanken (GvDB 2014), Ritten, Italy},
publisher = {CEUR-WS.org},
title = {{Combining Spotify and Twitter Data for Generating a Recent and Public Dataset for Music Recommendation}},
year = {2014},
volume = {1313},
month = oct,
pages = {35--40},
howpublished = {online},
}

@PHDTHESIS {forer2014-diss,
    author = {Lukas Forer},
    title  = {{A MapReduce workflow system for high-throughput detection and analysis of genetic variations}},
    school = {University of Innsbruck, Department of Computer Science},
    year   = {2014},
    month  = {oct}
}

@Inbook{Binna2015,
author="Binna, Robert
and Pacher, Dominic
and Meindl, Thomas
and Specht, G{\"u}nther",
editor="Jagatheesan, Arun
and Levandoski, Justin
and Neumann, Thomas
and Pavlo, Andrew",
title="The DCB-Tree: A Space-Efficient Delta Coded Cache Conscious B-Tree",
bookTitle="In Memory Data Management and Analysis: First and Second International Workshops, IMDM 2013, Riva del Garda, Italy, August 26, 2013, IMDM 2014, Hongzhou, China, September 1, 2014, Revised Selected Papers",
year="2015",
publisher="Springer International Publishing",
address="Cham",
pages="126--138",
isbn="978-3-319-13960-9",
doi="10.1007/978-3-319-13960-9_10",
url="http://dx.doi.org/10.1007/978-3-319-13960-9_10"
}

@inproceedings{tschuggnall2014grammar,
	Address = {Paris, France},
	Author = {Tschuggnall, Michael and Specht, G{\"u}nther},
	Booktitle = {Proceedings of the 4th International Conference on Advances in Information Mining and Management (IMMM)},
	Date-Modified = {2014-08-21 13:10:55 +0000},
	Month = {July},
	Pages = {30--35},
	Title = {What Grammar Tells About Gender and Age of Authors},
	Year = {2014}}

@InProceedings{ismm14,
title={#nowplaying Music Dataset: Extracting Listening Behavior from Twitter},
author={Zangerle, Eva and Pichl, Martin and Gassler, Wolfgang and Specht, G\"unther},
year={2014},
pages={21--26},
location = {Orlando, Florida, USA},
publisher = {ACM},
address = {New York, NY, USA},
month = jun,
booktitle = {Proceedings of the 1st ACM International Workshop on Internet-Scale Multimedia Management},
series = {ISMM '14},
}

@PHDTHESIS {schoenherr2014-diss,
    author = {Sebastian Sch\"{o}nherr},
    title  = {{Processing of massive datasets in genomics}},
    school = {University of Innsbruck, Department of Computer Science},
    year   = {2014},
    month  = {may}
}

@article{fgcs,
author = {Gassler, Wolfgang and Zangerle, Eva and Specht, G\"unter},
title = {{Guided Curation of Semistructured Data in Collaboratively-built Knowledge Bases}},
journal = {Journal on Future Generation Computer Systems},
publisher = {Elsevier Science Publishers},
year = {2014},
note = {impact factor 1.978.},
url = {http://www.sciencedirect.com/science/article/pii/S0167739X13001076},
pages = {111-119},
volume = {31},
month = may,
doi = {10.1016/j.future.2013.05.008},
}

@inproceedings{tschuggnall-specht:2014:EACL2014-SP,
	Address = {Gothenburg, Sweden},
	Author = {Tschuggnall, Michael and Specht, G\"{u}nther},
	Booktitle = {Proceedings of the 14th Conference of the European Chapter of the Association for Computational Linguistics (EACL), volume 2: Short Papers},
	Month = {April},
	Pages = {195--199},
	Publisher = {Association for Computational Linguistics},
	Title = {Enhancing Authorship Attribution By Utilizing Syntax Tree Profiles},
	Url = {http://www.aclweb.org/anthology/E14-4038},
	Year = {2014},
	Bdsk-Url-1 = {http://www.aclweb.org/anthology/E14-4038}}

@inproceedings{sac14,
author = {Zangerle, Eva and Specht, G\"unther},
title = {{“Sorry, I was hacked"---A Classification of Compromised Twitter Accounts}},
publisher = {ACM},
year = {2014},
booktitle = {Proceedings of the 29th ACM Symposium on Applied Computing},
address = {Gyeongju, Korea},
month = mar,
pages = {587--593}
}

@incollection{iup_twitter_miscreants2014,
editor = {Ortner, Heike and Pfurtscheller, Daniel and Rizzoli, Michaela and Wiesinger, Andreas},
author = {Zangerle, Eva},
title = {Missbrauch und Betrug auf Twitter},
booktitle = {Datenflut und Informationskan\"ale},
year = {2014},
pages = {167--176},
publisher = {Innsbruck University Press}
}

@Article{Thor2014,
author="Thor, Andreas
and Scherzinger, Stefanie
and Specht, G{\"u}nther",
title="Editorial",
journal="Datenbank-Spektrum",
year="2014",
volume="14",
number="2",
pages="81--84",
issn="1610-1995",
doi="10.1007/s13222-014-0162-1",
url="http://dx.doi.org/10.1007/s13222-014-0162-1"
}

@article{summerer2014large,
  title={Large-scale mitochondrial DNA analysis in Southeast Asia reveals evolutionary effects of cultural isolation in the multi-ethnic population of Myanmar},
 author = {Summerer, Monika and Horst, J{\"{u}}rgen and Erhart, Gertraud and Weissensteiner, Hansi and Sch{\"{o}}nherr, Sebastian and Pacher, Dominic and Forer, Lukas and Horst, David and Manhart, Angelika and Horst, Basil and Sanguansermsri, Torpong and Kloss-Brandst{\"{a}}tter, Anita},
  journal={BMC evolutionary biology},
  volume={14},
  number={1},
  pages={17},
  year={2014},
  publisher={BioMed Central}
}

@InProceedings{cybercrime14,
author={Zangerle, Eva and Specht, G\"unther},
title = {{Cybercrime on Twitter: Shifting the User Back into Focus}},
year = {2014},
booktitle = {Proceedings of the WebScience Cybercrime / Cyberwar Workshop, co-located with WebSci14},
}

@inproceedings{forer2014delivering,
  title={Delivering bioinformatics mapreduce applications in the cloud},
  author={Forer, Lukas and Lipic, Tomislav and Schonherr, Sebastian and Weissensteiner, Hansi and Davidovic, Davor and Kronenberg, Florian and Afgan, Enis},
  booktitle={Information and Communication Technology, Electronics and Microelectronics (MIPRO), 2014 37th International Convention on},
  pages={373--377},
  year={2014},
  organization={IEEE}
}

@article{lamina2014correlation,
  title={Correlation between a positive family risk score and peripheral artery disease in one case-control and two population-based studies},
  author={Lamina, Claudia and Linsenmeyer, Johannes and Weissensteiner, Hansi and Kollerits, Barbara and Meisinger, Christa and Rantner, Barbara and St{\"o}ckl, Doris and Stadler, Marietta and Klein-Weigel, Peter and Peters, Annette and others},
  journal={Atherosclerosis},
  volume={237},
  number={1},
  pages={243--250},
  year={2014},
  publisher={Elsevier}
}

@article{pachergraph,
  title={Graph Stores based on Spatial Computers},
  author={Pacher, Dominic and Binna, Robert and Specht, G{\"u}nther}
}

@inproceedings{DBLP:conf/eisic/TschuggnallS13,
	Address = {Uppsala, Sweden},
	Author = {Michael Tschuggnall and G{\"u}nther Specht},
	Bibsource = {DBLP, http://dblp.uni-trier.de},
	Booktitle = {Proceedings of the European Intelligence and Security Informatics Conference (EISIC)},
	Date-Modified = {2014-03-24 11:33:17 +0000},
	Ee = {http://dx.doi.org/10.1109/EISIC.2013.10},
	Month = {August},
	Pages = {15-22},
	Publisher = {IEEE},
	Title = {{Countering Plagiarism by Exposing Irregularities in Authors' Grammar}},
	Year = {2013}}

@inproceedings{DBLP:conf/nldb/TschuggnallS13,
	Address = {Salford, UK},
	Author = {Michael Tschuggnall and G{\"u}nther Specht},
	Bibsource = {DBLP, http://dblp.uni-trier.de},
	Booktitle = {Proceedings of the 18th International Conference on Applications of Natural Language to Information Systems (NLDB)},
	Date-Modified = {2014-03-24 11:29:05 +0000},
	Ee = {http://dx.doi.org/10.1007/978-3-642-38824-8\_28},
	Month = {June},
	Pages = {297-302},
	Series = {Lecture Notes in Computer Science},
	Title = {{Using Grammar-Profiles to Intrinsically Expose Plagiarism in Text Documents}},
	Volume = {7934},
	Year = {2013}}

@inproceedings{DBLP:conf/btw/TschuggnallS13,
	Address = {Magdeburg, Germany},
	Author = {Michael Tschuggnall and G{\"u}nther Specht},
	Bibsource = {DBLP, http://dblp.uni-trier.de},
	Booktitle = {Proceedings of the 15th Fachtagung des GI-Fachbereichs Datenbanksysteme f{\"u}r Business, Technologie und Web (BTW)},
	Date-Modified = {2015-02-26 12:48:51 +0000},
	Month = {March},
	Pages = {241-259},
	Publisher = {GI},
	Series = {LNI},
	Title = {{Detecting Plagiarism in Text Documents Through Grammar-Analysis of Authors}},
	Year = {2013}}

@phdthesis{evaphd,
author = {Zangerle, Eva},
title = {{Leveraging Recommender Systems for the Creation and Maintenance of Structure within Collaborative Social Media Platforms}},
school = {University of Innsbruck, Department of Computer Science},
year = {2013}
}

@incollection{scientificcomputing-tschuggnall,
	Author = {Michael Tschuggnall},
	Booktitle = {Scientific Computing@uibk},
	Date-Modified = {2014-03-24 11:29:17 +0000},
	Editor = {Marco Barden and Alexander Ostermann},
	Publisher = {Innsbruck University Press},
	Title = {{Plag-Inn: Uncovering Plagiarism by Examining Author's Grammar Syntax}},
	Year = {2013}}

@article{snam,
year={2013},
issn={1869-5450},
journal={Social Network Analysis and Mining},
volume={3},
number={4},
doi={10.1007/s13278-013-0108-x},
title={On the impact of text similarity functions on hashtag recommendations in microblogging environments},
url={http://dx.doi.org/10.1007/s13278-013-0108-x},
publisher={Springer Vienna},
author={Zangerle, Eva and Gassler, Wolfgang and Specht, G\"unther},
pages={889-898},
language={English}
}

@article{10.1371/journal.pone.0059508,
    author = {Weissensteiner, Hansi AND Haun, Margot AND Schönherr, Sebastian AND Neuner, Mathias AND Forer, Lukas AND Specht, Günther AND Kloss-Brandstätter, Anita AND Kronenberg, Florian AND Coassin, Stefan},
    journal = {PLOS ONE},
    publisher = {Public Library of Science},
    title = {SNPflow: A Lightweight Application for the Processing, Storing and Automatic Quality Checking of Genotyping Assays},
    year = {2013},
    month = {03},
    volume = {8},
    url = {http://dx.doi.org/10.1371%2Fjournal.pone.0059508},
    pages = {1-9},
    abstract = {Single nucleotide polymorphisms (SNPs) play a prominent role in modern genetics. Current genotyping technologies such as Sequenom iPLEX, ABI TaqMan and KBioscience KASPar made the genotyping of huge SNP sets in large populations straightforward and allow the generation of hundreds of thousands of genotypes even in medium sized labs. While data generation is straightforward, the subsequent data conversion, storage and quality control steps are time-consuming, error-prone and require extensive bioinformatic support. In order to ease this tedious process, we developed SNPflow. SNPflow is a lightweight, intuitive and easily deployable application, which processes genotype data from Sequenom MassARRAY (iPLEX) and ABI 7900HT (TaqMan, KASPar) systems and is extendible to other genotyping methods as well. SNPflow automatically converts the raw output files to ready-to-use genotype lists, calculates all standard quality control values such as call rate, expected and real amount of replicates, minor allele frequency, absolute number of discordant replicates, discordance rate and the p-value of the HWE test, checks the plausibility of the observed genotype frequencies by comparing them to HapMap/1000-Genomes, provides a module for the processing of SNPs, which allow sex determination for DNA quality control purposes and, finally, stores all data in a relational database. SNPflow runs on all common operating systems and comes as both stand-alone version and multi-user version for laboratory-wide use. The software, a user manual, screenshots and a screencast illustrating the main features are available at http://genepi-snpflow.i-med.ac.at.},
    number = {3},
    doi = {10.1371/journal.pone.0059508}
}

@InCollection{scientificcomputing,
author = {Zangerle, Eva},
title = {Exploiting Recommendations in Microblogging Environments},
booktitle = {Scientific Computing@uibk},
publisher = {Innsbruck University Press},
year = {2013},
editor = {Marco Barden and Alexander Ostermann}
}

@inproceedings{DBLP:conf/nldb/TschuggnallS12,
	Address = {Groningen, The Netherlands},
	Author = {Michael Tschuggnall and G{\"u}nther Specht},
	Bibsource = {DBLP, http://dblp.uni-trier.de},
	Booktitle = {Proceedings of the 18th International Conference on Applications of Natural Language to Information Systems (NLDB)},
	Date-Modified = {2014-03-24 11:36:30 +0000},
	Ee = {http://dx.doi.org/10.1007/978-3-642-31178-9\_35},
	Month = {June},
	Pages = {284-289},
	Publisher = {Springer},
	Title = {{Plag-Inn: Intrinsic Plagiarism Detection Using Grammar Trees}},
	Year = {2012}}

@InProceedings{msm12,
title = {Exploiting Twitter's Collective Knowledge for Music Recommendations},
year = {2012},
booktitle = {Proceedings, 2nd Workshop on Making Sense of Microposts {(#MSM2012)}: Big things come in small packages, Lyon, France, 16 April 2012 (in connection with the 21st International Conference on World Wide Web)},
month = {April},
author = {Zangerle, Eva and Gassler, Wolfgang and Specht, G\"unther},
pages = {14--17},
month = apr,
keywords = {Recommender Systems, Music Recommendation, Twitter},
url = {http://ceur-ws.org/Vol-838/paper\_09.pdf}
}

@article{Lamina2012363,
title = "Evaluation of gene-obesity interaction effects on cholesterol levels: A genetic predisposition score on HDL-cholesterol is modified by obesity ",
journal = "Atherosclerosis ",
volume = "225",
number = "2",
pages = "363 - 369",
year = "2012",
note = "",
issn = "0021-9150",
doi = "http://dx.doi.org/10.1016/j.atherosclerosis.2012.09.016",
url = "http://www.sciencedirect.com/science/article/pii/S002191501200634X",
author = "Claudia Lamina and Lukas Forer and Sebastian Schönherr and Barbara Kollerits and Janina S. Ried and Christian Gieger and Annette Peters and H.-Erich Wichmann and Florian Kronenberg",
keywords = "Lipids",
keywords = "Genetic predisposition score",
keywords = "SNP",
keywords = "Interaction",
keywords = "Polymorphism",
keywords = "HDL cholesterol ",
abstract = "Objective Effect modification by obesity or obesity-related phenotypes (e.g. physical activity and diet) was observed in some candidate gene studies on lipids. We aimed to evaluate gene–obesity interaction effects on \{HDL\} (HDL-C), \{LDL\} (LDL-C) and total cholesterol (TC) levels using genetic predisposition scores. Methods We derived imputed genotypes for 104 \{SNPs\} in 84 lipid-associated loci in the population-based studies \{KORA\} \{F3\} (n = 1406) and \{KORA\} \{F4\} (n = 1515). We inferred specific unbiased weights for each \{SNP\} from linear regression estimates in \{KORA\} F4. Weighted genotypic predisposition SNP-scores were then calculated for each lipid trait in \{KORA\} F3. Interaction terms of SNP-scores with each of the obesity parameters (BMI, waist–hip-ratio, waist circumference) were included in age- and sex-adjusted linear regression models on HDL-C, LDL-C and TC. Results All three SNP-scores were shown to be highly associated with their respective lipid levels (p = 1.11 × 10−47 for HDL-C, p = 3.25 × 10−19 for LDL-C and 1.53 × 10−13 for TC). BMI, \{WHR\} and waist circumference modified the effect of the weighted HDL-C SNP-score on HDL-C significantly (all interaction p-values < 0.0062). No interaction term was significant for LDL-C or TC. Accounting for gene–obesity interaction substantially increased the proportion of HDL-C variance explained by 3–3.5%. Conclusion Our investigation revealed a significant interaction effect between obesity parameters and a SNP-score on HDL-C: the combined effect of HDL-C-increasing alleles on HDL-C is attenuated with increasing levels of obesity–relevant parameters. Future studies aiming to detect new genetic variants or to model genetic predictions of HDL-C levels should take obesity or obesity associated parameters into account. "
}

@incollection{forer2012cloud,
  title={Cloud Computing - Bringing computational power to medical genetics},
  author={Forer, Lukas and Sch{\"o}nherr, Sebastian and Weissensteiner, Hansi and Specht, G{\"u}nther and Kronenberg, Florian and Kloss-Brandst{\"a}tter, Anita},
  booktitle={Computational Medicine: Tools and Challenges},
  pages={27--36},
  year={2012},
  publisher={Springer},
}

@inproceedings{www12,
author = {Gassler, Wolfgang and Zangerle, Eva and B\"urgler, Martin and Specht, G\"unther},
title = {SnoopyTagging: Recommending Contextualized Tags to Increase the Quality and Quantity of Meta-Information},
booktitle = {Proceedings of the 21st International Conference on the World Wide Web 2012, Lyon, France (Poster)},
year={2012},
pages={511-512}
}

@incollection{collsemweb,
title = {{Dealing with Structure Heterogeneity in Semantic Collaborative Environments}},
booktitle = {Collaboration and the Semantic Web: Social Networks, Knowledge Networks and Knowledge Resources},
year = {2012},
publisher = {IGI Publishers, Hershey, Pennsylvania (USA)},
author = {Zangerle, Eva and Gassler, Wolfgang},
editor = {Brueggemann, Stefan and d'Amato, Claudia},
doi = {doi:10.4018/978-1-4666-0894-8}
}

@Article{Schönherr2012,
author="Sch{\"o}nherr, Sebastian
and Forer, Lukas
and Wei{\ss}ensteiner, Hansi
and Kronenberg, Florian
and Specht, G{\"u}nther
and Kloss-Brandst{\"a}tter, Anita",
title="Cloudgene: A graphical execution platform for MapReduce programs on private and public clouds",
journal="BMC Bioinformatics",
year="2012",
volume="13",
number="1",
pages="200",
abstract="The MapReduce framework enables a scalable processing and analyzing of large datasets by distributing the computational load on connected computer nodes, referred to as a cluster. In Bioinformatics, MapReduce has already been adopted to various case scenarios such as mapping next generation sequencing data to a reference genome, finding SNPs from short read data or matching strings in genotype files. Nevertheless, tasks like installing and maintaining MapReduce on a cluster system, importing data into its distributed file system or executing MapReduce programs require advanced knowledge in computer science and could thus prevent scientists from usage of currently available and useful software solutions.",
issn="1471-2105",
doi="10.1186/1471-2105-13-200",
url="http://dx.doi.org/10.1186/1471-2105-13-200"
}

@inproceedings{socinfo11,
author = {Zangerle, Eva and Gassler, Wolfgang and Specht, G\"unther},
title = {{Using Tag Recommendations to Homogenize Folksonomies in Microblogging Environments}},
booktitle = {Proceedings of the Third International Conference on Social Informatics (SocInfo) 2011, Singapore, Singapore, October 6-8, 2011},
year = {2011},
editor = {Anwitaman Datta and Stuart Shulman and Baihua Zheng and Shoude Lin and Aixin Sun and Ee-Peng Lim},
publisher = {Springer},
series = {Lecture Notes in Computer Science},
year = {2011},
month = oct,
pages = {113-126},
doi = {10.1007/978-3-642-24704-0_16}
}

@PHDTHESIS {borovicka2011-diss,
    author = {Michael Borovicka},
    title  = {{A Framework for a Fully Archetyped and Harmonised Electronic Health Record Data Cycle Enabling Provision of Integrated Medical Care}},
    school = {University of Innsbruck, Department of Computer Science},
    year   = {2011},
    month  = {sep}
}

@proceedings{DBLP:conf/gvd/2011,
  editor       = {Wolfgang Gassler and
                  Eva Zangerle and
                  G{\"{u}}nther Specht},
  title        = {Proceedings of the 23rd GI-Workshop "Grundlagen von Datenbanken 2011",
                  Obergurgl, Austria, May 31 - June 03, 2011},
  series       = {{CEUR} Workshop Proceedings},
  volume       = {733},
  publisher    = {CEUR-WS.org},
  year         = {2011},
  url          = {https://ceur-ws.org/Vol-733},
}

@inproceedings{cts11,
title = {{The Snoopy Concept: Fighting Heterogeneity in Semistructured and Collaborative Information Systems by using Recommendations}},
booktitle = {The 2011 International Conference on Collaboration Technologies and Systems (CTS 2011)},
year = {2011},
address = {Philadelphia, PE},
author = {Gassler, Wolfgang and Zangerle, Eva and Specht, G\"unther},
pages={61-68},
month = may,
doi = {10.1109/CTS.2011.5928666}
}

@inproceedings{gvdb11,
author = {Binna, Robert and Gassler, Wolfgang and Zangerle, Eva and Pacher, Dominic and Specht, G\"unther},
booktitle = {Proceedings of the 23nd Workshop Grundlagen von Datenbanken (GvDB 2011), Obergurgl, Austria},
publisher = {CEUR-WS.org, ISSN 1613-0073, Vol. 733},
title = {{SpiderStore: A Native Main Memory Approach for Graph Storage}},
year = {2011},
howpublished = {online}
}

@MISC{ht11,
author = {Larcher, Alexander and Zangerle, Eva and Gassler, Wolfgang and Specht, G\"unther},
title = {Key Recommendations for Infoboxes in Wikipedia},
year = {2011},
howpublished = {Website of the 22nd ACM Conference on Hypertext and Hypermedia},
note = {Poster Presentation}
}

@misc{proll2011mysql,
  title={MySQL: Das Handbuch f{\"u}r Administratoren},
  author={Pr{\"o}ll, Stefan and Zangerle, Eva and Gassler, Wolfgang},
  year={2011},
  publisher={Galileo Computing}
}

@inproceedings{umap11,
author = {Zangerle, Eva and Gassler, Wolfgang and Specht, G\"unther},
title = {Recommending #-tags in Twitter},
booktitle = {Proceedings of the Workshop on Semantic Adaptive Social Web 2011 in connection with the 19th International Conference on User Modeling, Adaptation and Personalization, UMAP 2011},
address = {Gerona, Spain},
publisher = {CEUR-WS.org},
year = {2011},
pages = {67-78}
}

@inproceedings{schonherr2011feedback,
  title={A feedback guided interface for elastic computing.},
  author={Sch{\"o}nherr, Sebastian and Forer, Lukas and Wei{\ss}ensteiner, Hansi and Kronenberg, Florian and Specht, G{\"u}nther and Kloss-Brandst{\"a}tter, Anita},
  booktitle={Grundlagen von Datenbanken},
  pages={109--114},
  year={2011},
  organization={Citeseer}
}

@article {HUMU:HUMU21382,
author = {Kloss-Brandstätter, Anita and Pacher, Dominic and Schönherr, Sebastian and Weissensteiner, Hansi and Binna, Robert and Specht, Günther and Kronenberg, Florian},
title = {HaploGrep: a fast and reliable algorithm for automatic classification of mitochondrial DNA haplogroups},
journal = {Human Mutation},
volume = {32},
number = {1},
publisher = {Wiley Subscription Services, Inc., A Wiley Company},
issn = {1098-1004},
url = {http://dx.doi.org/10.1002/humu.21382},
doi = {10.1002/humu.21382},
pages = {25--32},
keywords = {mitochondrial DNA, haplogroup, Phylotree, quality assurance},
year = {2011},
}

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@inproceedings{pacher2011data,
  title={Data Locality in Graph Databases through N-Body Simulation.},
  author={Pacher, Dominic and Binna, Robert and Specht, G{\"u}nther},
  booktitle={Grundlagen von Datenbanken},
  pages={85--90},
  year={2011},
  organization={Citeseer}
}

@article{jacquemont2011mirror,
  title={Mirror extreme BMI phenotypes associated with gene dosage at the chromosome 16p11. 2 locus},
  author={Jacquemont, S{\'e}bastien and Reymond, Alexandre and Zufferey, Flore and Harewood, Louise and Walters, Robin G and Kutalik, Zolt{\'a}n and Martinet, Danielle and Shen, Yiping and Valsesia, Armand and Beckmann, Noam D and others},
  journal={Nature},
  volume={478},
  number={7367},
  pages={97--102},
  year={2011},
  publisher={Nature Publishing Group}
}

@inproceedings{ht10,
author = {Gassler, Wolfgang and Zangerle, Eva and Tschuggnall, Michael and Specht, G{\"u}nther},
title = {{SnoopyDB: Narrowing the Gap between Structured and Unstructured Information using Recommendations}},
booktitle = {HT'10, Proceedings of the 21st ACM Conference on Hypertext and Hypermedia, Toronto, Ontario, Canada, June 13-16, 2010},
year = {2010},
pages = {271-272},
ee = {http://doi.acm.org/10.1145/1810617.1810670},
isbn = {978-1-4503-0041-4},
bibsource = {DBLP, http://dblp.uni-trier.de},
editor = {Mark H. Chignell and
Elaine Toms},
month=jun,
doi = {10.1145/1810617.1810670}
}

@inproceedings{Hackl:2010:SMM:1866480.1866481,
 author = {Hackl, G\"{u}nter and Pausch, Wolfgang and Sch\"{o}nherr, Sebastian and Specht, G\"{u}nther and Thiel, Gunther},
 title = {Synchronous Metadata Management of Large Storage Systems},
 booktitle = {Proceedings of the Fourteenth International Database Engineering \&\#38; Applications Symposium},
 series = {IDEAS '10},
 year = {2010},
 isbn = {978-1-60558-900-8},
 location = {Montreal, Quebec, Canada},
 pages = {1--6},
 numpages = {6},
 url = {http://doi.acm.org/10.1145/1866480.1866481},
 doi = {10.1145/1866480.1866481},
 acmid = {1866481},
 publisher = {ACM},
 address = {New York, NY, USA},
} 

@Article{Weißensteiner2010,
author="Weißensteiner, Hansi
and Sch{\"o}nherr, Sebastian
and Specht, G{\"u}nther
and Kronenberg, Florian
and Brandst{\"a}tter, Anita",
title="eCOMPAGT integrates mtDNA: Import, Validation and Export of Mitochondrial DNA Profiles for Population Genetics, Tumour Dynamics and Genotype-Phenotype Association Studies",
journal="BMC Bioinformatics",
year="2010",
volume="11",
number="1",
pages="122",
abstract="Mitochondrial DNA (mtDNA) is widely being used for population genetics, forensic DNA fingerprinting and clinical disease association studies. The recent past has uncovered severe problems with mtDNA genotyping, not only due to the genotyping method itself, but mainly to the post-lab transcription, storage and report of mtDNA genotypes.",
issn="1471-2105",
doi="10.1186/1471-2105-11-122",
url="http://dx.doi.org/10.1186/1471-2105-11-122"
}

@MISC{M_chaosor,
    author = {Borovicka M and Laschitz L and Reiter D and Gächter E and Specht G},
    title = {Chaos or Content: Towards Generic Structuring of Medical Documents by Utilisation of Archetype-Classes},
    year = {2010}
}

@inproceedings{vldb10,
title={{SpiderStore: Exploiting Main Memory for Efficient RDF Graph Representation and Fast Querying}},
booktitle = {Proceedings of the 1st International Workshop on Semantic Data Management (SemData) at the 36th International Conference on Very Large Data Bases (VLDB 2010), Singapore},
author={Binna, Robert and Gassler, Wolfgang and Zangerle, Eva and Pacher, Dominic and Günther Specht},
year={2010},
publisher = {CEUR-WS.org},
howpublished = {online}
}

@inproceedings{gvdb10,
author = {Gassler, Wolfgang and Zangerle, Eva},
booktitle = {Proceedings of the 22nd Workshop Grundlagen von Datenbanken (GvDB 2010), Bad Helmstedt, Germany},
publisher = {CEUR-WS.org},
title = {{Recommendation-Based Evolvement of Dynamic Schemata in Semistructured Information Systems}},
year = {2010},
note = {},
howpublished = {online}
}

@inproceedings{recsys10,
author = {Zangerle, Eva and Gassler, Wolfgang and Specht, G\"{u}nther},
title = {{Recommending Structure in Collaborative Semistructured Information Systems}},
booktitle = {RecSys '10: Proceedings of the third ACM conference on Recommender systems},
year = {2010},
pages = {141-145},
location = {Barcelona, Spain},
publisher = {ACM},
address = {Barcelona, Spain},
doi = {10.1145/1864708.1864762}
}

@Article{Forer2010,
author="Forer, Lukas
and Sch{\"o}nherr, Sebastian
and Weissensteiner, Hansi
and Haider, Florian
and Kluckner, Thomas
and Gieger, Christian
and Wichmann, Heinz-Erich
and Specht, G{\"u}nther
and Kronenberg, Florian
and Kloss-Brandst{\"a}tter, Anita",
title="CONAN: copy number variation analysis software for genome-wide association studies",
journal="BMC Bioinformatics",
year="2010",
volume="11",
number="1",
pages="318",
abstract="Genome-wide association studies (GWAS) based on single nucleotide polymorphisms (SNPs) revolutionized our perception of the genetic regulation of complex traits and diseases. Copy number variations (CNVs) promise to shed additional light on the genetic basis of monogenic as well as complex diseases and phenotypes. Indeed, the number of detected associations between CNVs and certain phenotypes are constantly increasing. However, while several software packages support the determination of CNVs from SNP chip data, the downstream statistical inference of CNV-phenotype associations is still subject to complicated and inefficient in-house solutions, thus strongly limiting the performance of GWAS based on CNVs.",
issn="1471-2105",
doi="10.1186/1471-2105-11-318",
url="http://dx.doi.org/10.1186/1471-2105-11-318"
}

@Article{Schönherr2009,
author="Sch{\"o}nherr, Sebastian
and Wei{\ss}ensteiner, Hansi
and Coassin, Stefan
and Specht, G{\"u}nther
and Kronenberg, Florian
and Brandst{\"a}tter, Anita",
title="eCOMPAGT -- efficient Combination and Management of Phenotypes and Genotypes for Genetic Epidemiology",
journal="BMC Bioinformatics",
year="2009",
volume="10",
number="1",
pages="139",
abstract="High-throughput genotyping and phenotyping projects of large epidemiological study populations require sophisticated laboratory information management systems. Most epidemiological studies include subject-related personal information, which needs to be handled with care by following data privacy protection guidelines. In addition, genotyping core facilities handling cooperative projects require a straightforward solution to monitor the status and financial resources of the different projects.",
issn="1471-2105",
doi="10.1186/1471-2105-10-139",
url="http://dx.doi.org/10.1186/1471-2105-10-139"
}

@inproceedings{borovicka2009towards,
  title={Towards a Context-Oriented Dynamic Medical Information System Supporting the Differential Diagnosis Process},
  author={Borovicka, Michael},
  year={2009},
  publisher={Hansen, H. et al.},
  booktitle={Business Services: Konzepte, Technologien, Anwendungen; 9. Internationalen Tagung Wirtschaftsinformatik}
}

@Inproceedings{Borovicka2008,
  author={Michael Borovicka},
  title={Information Enabled Decision Making with Relevance},
  booktitle={Eighth International Baltic Conference on Databases and Information Systems},
  year={2008},
  publisher={Haav, Hele-Mai et al.},
}

@article{DBLP:journals/jmm/VogtWRS08,
  author    = {Christian Vogt and
               Robert Walter and
               J{\"{o}}rg Rasinger and
               G{\"{u}}nther Specht},
  title     = {{INFOAREA} - an Open Multi-Purpose Information System for the Mobile
               Age},
  journal   = {J. Mobile Multimedia},
  volume    = {4},
  number    = {2},
  pages     = {139--148},
  year      = {2008},
  url       = {http://www.rintonpress.com/journals/jmm/abstractsJmm4-2.html},
  timestamp = {Thu, 27 May 2010 09:49:57 +0200},
  biburl    = {http://dblp2.uni-trier.de/rec/bib/journals/jmm/VogtWRS08},
  bibsource = {dblp computer science bibliography, http://dblp.org}
}

@misc{borovicka2008medical,
  title={Medical relevance in context to information synthesis},
  author={Borovicka, Michael},
  journal={eHealth2008—Medical Informatics Meets eHealth. Tagungsband der eHealth2008},
  pages={139--145},
  year={2008},
}

@inproceedings{DBLP:conf/ewcbr/Borovicka08,
  author    = {Michael C. A. Borovicka},
  title     = {Identifying Relevance Factors for Information Retrieval of a Dynamic
               Medical Information System supporting the Differential Diagnosis Process},
  booktitle = {{ECCBR} 2008, The 9th European Conference on Case-Based Reasoning,
               Trier, Germany, September 1-4, 2008, Workshop Proceedings},
  pages     = {13--22},
  year      = {2008},
  crossref  = {DBLP:conf/ewcbr/2008w},
  timestamp = {Wed, 13 Aug 2008 13:16:55 +0200},
  publisher={Schaaf, Matrin (Ed)},
}

@inproceedings{borovicka2008dmis,
  title={Introducing Relevance and Context to Information Retrieval Supporting the Differential Diagnosis Process},
  author={Borovicka, Michael and Stockdale, Rosemary},
  booktitle={13th International Symposium for Health Information Management Research (ISHIMR 2008)},
  year={2008},
}

@inproceedings{DBLP:conf/momm/Borovicka08,
  author    = {Michael C. A. Borovicka},
  title     = {{DMIS:} design and prototype of a future clinical eHealth system},
  booktitle = {MoMM'2008 - The 6th International Conference on Advances in Mobile
               Computing and Multimedia, 24 - 26 November 2008, Linz, Austria},
  pages     = {485--489},
  year      = {2008},
  crossref  = {DBLP:conf/momm/2008},
  url       = {http://doi.acm.org/10.1145/1497185.1497288},
  doi       = {10.1145/1497185.1497288},
  timestamp = {Tue, 27 Jan 2009 14:17:15 +0100},
  biburl    = {http://dblp.dagstuhl.de/rec/bib/conf/momm/Borovicka08},
  bibsource = {dblp computer science bibliography, http://dblp.org}
}

@PHDTHESIS {eckert2006-diss,
    author = {Roland Eckert},
    title  = {{Transformationsreport als Optimierungsstrategie des Produktdatenaustausches}},
    school = {University of Innsbruck, Department of Computer Science},
    year   = {2006},
    month  = {jul}
}

@INPROCEEDINGS{1630622,
author={Günther Specht and Timo Weithöner},
booktitle={7th International Conference on Mobile Data Management (MDM'06), Nara, Japan},
title={Context-Aware Processing of Ontologies in Mobile Environments},
year={2006},
pages={86-86},
keywords={Computer applications;Computer architecture;Context-aware services;Information systems;Logic devices;Mobile computing;Ontologies;Relational databases;Semantic Web;Spatial databases},
doi={10.1109/MDM.2006.55},
ISSN={1551-6245},
month={May},}

@article {IIS2:IIS202788,
author = {Eckert, Roland},
title = {Conflict in Systems Engineering Product Data Exchange Standardisation},
journal = {INCOSE International Symposium},
volume = {16},
number = {1},
issn = {2334-5837},
url = {http://dx.doi.org/10.1002/j.2334-5837.2006.tb02788.x},
doi = {10.1002/j.2334-5837.2006.tb02788.x},
pages = {882--894},
year = {2006},
}

@article {IIS2:IIS200731,
author = {Eckert, Roland and Mansel, Wolfgang and Specht, Günther},
title = {Enhanced Interoperability for Systems Engineering Data by a Transformation Report},
journal = {INCOSE International Symposium},
volume = {15},
number = {1},
issn = {2334-5837},
url = {http://dx.doi.org/10.1002/j.2334-5837.2005.tb00731.x},
doi = {10.1002/j.2334-5837.2005.tb00731.x},
pages = {1059--1073},
year = {2005},
}

@article {SYS:SYS20018,
author = {Eckert, Roland and Mansel, Wolfgang and Specht, Günther},
title = {Model transfer among CASE tools in systems engineering},
journal = {Systems Engineering},
volume = {8},
number = {1},
publisher = {Wiley Subscription Services, Inc.},
issn = {1520-6858},
url = {http://dx.doi.org/10.1002/sys.20018},
doi = {10.1002/sys.20018},
pages = {41--50},
keywords = {STEP, SEDRES, Computer-Aided Design, interoperability, data translation, standards},
year = {2005},
}

@Article{Sauter2005,
author="Sauter, Patrick
and V{\"o}gler, Gabriel
and Specht, G{\"u}nther
and Flor, Thomas",
title="A Model--View--Controller extension for pervasive multi-client user interfaces",
journal="Personal and Ubiquitous Computing",
year="2005",
volume="9",
number="2",
pages="100--107",
abstract="This paper addresses the implementation of pervasive Java Web applications using a development approach that is based on the Model--View--Controller (MVC) design pattern. We combine the MVC methodology with a hierarchical task-based state transition model in order to achieve the distinction between the task state and the view state of an application. More precisely, we propose to add a device-independent TaskStateBean and a device-specific ViewStateBean for each task state as an extension to the J2EE Service to Worker design pattern. Furthermore, we suggest representing the task state and view state transition models as finite state automata in two sets of XML files. This paper shows that the distinction between an application's task state and view state is both intuitive and facilitates several, otherwise complex, tasks, such as changing devices ``on the fly.''",
issn="1617-4917",
doi="10.1007/s00779-004-0314-7",
url="http://dx.doi.org/10.1007/s00779-004-0314-7",
publisher={Springer}
}

@INPROCEEDINGS{7461298,
author={R. Eckert and W. Mansel and G. Specht},
booktitle={2005 IEEE International Technology Management Conference (ICE)},
title={STEP AP233 + standard PDM = systems engineering PDM?},
year={2005},
pages={1-8},
keywords={ISO standards;electronic data interchange;manufacturing industries;product life cycle management;production engineering computing;systems engineering;CASE tools;STEP AP233;STEP ISO 10303 application protocols;data exchange aspects;information creation;information dissemination;information management;information use;manufacturing industry;mechanical engineering;product data management;product definition information;standard PDM;systems engineering PDM system;Computer aided software engineering;Lead;AP223;Data Exchange;PDM;STEP;System Engineering},
doi={10.1109/ITMC.2005.7461298},
month={June},
publisher={IEEE},}

@inproceedings{weithoner2004verarbeitung,
  title={Verarbeitung von Ontologien in mobilen Umgebungen},
  author={Weith{\"o}ner, Timo and Specht, G{\"u}nther},
  booktitle={GI Lecture Notes in Informatics},
  year={2004},
  
}

@book{sabrina161,
           title = {Mobile Datenbanksysteme},
          author = {Bela Mutschler and G{\"u}nther Specht},
       publisher = {Springer-Verlag},
            year = {2004},
             url = {http://dbis.eprints.uni-ulm.de/161/},
        abstract = {Das Buch liefert eine fundierte Einf{\"u}hrung in generische Architekturen und konkrete Implementierungskonzepte sowie einen {\"U}berblick {\"u}ber existierende Technologien und Konzepte f{\"u}r mobile Datenbanksysteme. Zentrale Themen sind spezifische und klassische Replikationsverfahren und ihre Eignung im mobilen Umfeld, mobile Transaktionsmodelle, spezielle Implementierungskonzepte f{\"u}r Pico-Datenbanksysteme, besonders effiziente Speicherkonzepte und Methoden der Anfrageausf{\"u}hrung. Anhand von marktreifen kommerziellen Datenbanksystemen werden realisierte Anwendungsarchitekturen und Implementierungskonzepte erl{\"a}utert.}
}

@Inbook{Sauter2004,
author="Sauter, Patrick
and V{\"o}gler, Gabriel
and Specht, G{\"u}nther
and Flor, Thomas",
editor="M{\"u}ller-Schloer, Christian
and Ungerer, Theo
and Bauer, Bernhard",
title="Extending the MVC Design Pattern towards a Task-Oriented Development Approach for Pervasive Computing Applications",
bookTitle="Organic and Pervasive Computing -- ARCS 2004: International Conference on Architecture of Computing Systems, Augsburg, Germany, March 23-26, 2004. Proceedings",
year="2004",
publisher="Springer Berlin Heidelberg",
address="Berlin, Heidelberg",
pages="309--321",
isbn="978-3-540-24714-2",
doi="10.1007/978-3-540-24714-2_23",
url="http://dx.doi.org/10.1007/978-3-540-24714-2_23"
}

@inproceedings{sabrina154,
       booktitle = {Proc. 6th NASA-ESA Workshop on Product Data Exchange (PDE 04)},
           month = {April},
           title = {Transformation Report: The missing Standard for Data Exchange},
          author = {Roland Eckert and G{\"u}nther Specht},
            year = {2004},
           pages = {1--7},
             url = {http://dbis.eprints.uni-ulm.de/154/},
        abstract = {The data exchange with STEP ISO 10303 is state of the art, but it is still a fundamental problem to guarantee a given quality of service to integrated operational and informational applications. In STEP there are defined descriptive methods, data specifications, implementation resources and conformance testing, but there is nothing to document how the data is processed. A success report of the mapped data from the source to the target tool is missing. In this paper we introduce a Transformation Report for documenting the data transformation from the source to the target tool. With this report the trustworthiness of the received data can be significantly improved by documenting the data loss, semantic and syntactic errors. With the information in the report it should be possible to infer the proper value to define rules that fix the data after it has been determined to be incorrect or to find a suitable data integrations strategy into a target tool or repository. The intention of the paper is to suggest a standardised Transformation Report, that can be automatically processed and that contains all information for an automated reconciliation process.}
}

@inproceedings{sabrina155,
       booktitle = { Proc. 13th Conf. Product Data Technology (PDT Europe 2004)},
           month = {October},
           title = {Challenge of Design Data Exchange between heterogeneous Database Schema},
          author = {Roland Eckert and G{\"u}nther Specht},
            year = {2004},
           pages = {125--132},
             url = {http://dbis.eprints.uni-ulm.de/155/},
        abstract = {The development of complex systems becomes increasingly difficult. The diversity and number of tools necessary to develop such a system is extensive. One solution to
exchange engineering data between these tools is the Standard for Product Data Exchange (STEP), ISO 10303. It offers domain specific database schema called application protocols. This paper analyses the problems of the data exchange between tools via an application protocol. and proposes a Transformation Report, which records individual transformation steps during the exchange between two different tools. The Transformation Report supports the
understanding of the data exchange process and helps correcting incomplete or incorrect transformed data.}
}

@Inproceedings{specht2004openarchives,
  author={Specht, Günther and Bauer, Michael G.},
  title={Weiterentwicklung von digitalen Bibliothekssystemen zu OpenArchives-Systemen},
  year={2004},
  booktitle={Proc. 9. I.u.K.-Konferenz (Information und Kommunikation), revised papers},
  pages={213--226},
}

@Inbook{Weithöner2004,
author="Weith{\"o}ner, Timo
and Liebig, Thorsten
and Specht, G{\"u}nther",
editor="Meersman, Robert
and Tari, Zahir
and Corsaro, Angelo",
title="Efficient Processing of Huge Ontologies in Logic and Relational Databases",
bookTitle="On the Move to Meaningful Internet Systems 2004: OTM 2004 Workshops: OTM Confederated International Workshops and Posters, GADA, JTRES, MIOS, WORM, WOSE, PhDS, and INTEROP 2004, Agia Napa, Cyprus, October 25-29, 2004. Proceedings",
year="2004",
publisher="Springer Berlin Heidelberg",
address="Berlin, Heidelberg",
pages="28--29",
isbn="978-3-540-30470-8",
doi="10.1007/978-3-540-30470-8_13",
url="http://dx.doi.org/10.1007/978-3-540-30470-8_13"
}

@Inproceedings{kalb2004metadata,
  author={Specht, G. and Kalb, M.},
  title={Zeitliche Verwaltung XML-basierter Metadaten in digitalen Bibliotheken},
  booktitle={Proc. 9. I.u.K.-Konferenz (Information und Kommunikation), revised papers},
  pages={227-238},
  year={2004},
}

@inproceedings{workshopgetconnected_specht_2004,
  title={Workshop - Get Connected to the Mobile World - Data Management in Mobile Environments},
  author={Specht, G{\"u}nther and Marron, Pedro},
  booktitle={Proc. Informatik 2004, 34. Jahrestagung der GI, GI Lecture Notes in Informatics, P-50},
  pages={287},
  year={2004},
  organization={}
}

@inproceedings{sabrina175,
       booktitle = {Proc. Workshop  Mobilit{\"a}t und Informationssysteme},
           month = {October},
           title = {Implementierungskonzepte und Anwendungsentwicklung kommerzieller mobiler Datenbanksysteme - Ein Vergleich},
          author = {Bela Mutschler and G{\"u}nther Specht},
            year = {2003},
           pages = {67--76},
             url = {http://dbis.eprints.uni-ulm.de/175/},
        abstract = {In diesem Papier werden vier mobile Datenbanksysteme - IBM DB2 Everyplace, Oracle 9i Lite, Sybase UltraLite und Tamino Mobile ? bez{\"u}glich ihrer Architekturen und Implementierungskonzepte sowie ihrer Unterst{\"u}tzung bei der Entwicklung mobiler  Anwendungen verglichen. Dar{\"u}berhinausgehende Aspekte der mobilen Datenbanksysteme Pointbase Micro und eXtremeDB werden ebenfalls ber{\"u}cksichtigt. Schwerpunkte des Papiers sind, neben den unterschiedlichen Archi-tekturkonzepten, die von den Datenbanksystemen bereitgestellten Verfahren zur Replikation und Synchronisation.}
}

@inproceedings{sabrina172,
       booktitle = {Proc NetObjectDays 2003},
           month = {October},
           title = {Struktur-, Verhaltens- und Ausgabeschemata f{\"u}r Multimedia-Daten in objektrelationalen Datenbanksystemen},
          author = {Thomas Heimrich and G{\"u}nther Specht},
            year = {2003},
           pages = {314--321},
             url = {http://dbis.eprints.uni-ulm.de/172/},
        abstract = {Objektrelationale Datenbanken bieten sich heute f{\"u}r die Speicherung von unabh{\"a}ngigen Multimedia-Daten an. Die formalen Konzepte objektrelatio-naler Datenbanken ber{\"u}cksichtigen aber bisher keine spezielle Beziehungen (Substitutionsbeziehung, Synchronisationsbeziehung) zwischen Multimedia-Objekten. Wir stellen daher eine formale Erweiterung der Struktur- und Verhal-tensvererbung vor, die auch die Substitutionsbeziehung ber{\"u}cksichtigt. Weiter-hin wird ein Ausgabeschema als neues Konzept eingef{\"u}hrt, um die Synchroni-sationsbeziehungen f{\"u}r die Datenausgabe zu modellieren.}
}

@Inbook{Heimrich2003,
author="Heimrich, Thomas
and Specht, G{\"u}nther",
editor="Chaudhri, Akmal B.
and Jeckle, Mario
and Rahm, Erhard
and Unland, Rainer",
title="Enhancing ECA Rules for Distributed Active Database Systems",
bookTitle="Web, Web-Services, and Database Systems: NODe 2002 Web- and Database-Related Workshops Erfurt, Germany, October 7--10, 2002 Revised Papers",
year="2003",
publisher="Springer Berlin Heidelberg",
address="Berlin, Heidelberg",
pages="199--205",
isbn="978-3-540-36560-0",
doi="10.1007/3-540-36560-5_15",
url="http://dx.doi.org/10.1007/3-540-36560-5_15"
}

@inproceedings{sabrina173,
       booktitle = {Proc. Datenbanksysteme in B{\"u}ro, Technik und Wissenschaft (BTW'03)},
           month = {February},
           title = {T-XPath: Ein zeitliches Modell f{\"u}r XML-Datenbanken},
          author = {Markus Kalb and Kerstin Schneider and G{\"u}nther Specht},
            year = {2003},
           pages = {157--166},
             url = {http://dbis.eprints.uni-ulm.de/173/},
        abstract = {Bisherige XML-Datenbanken erlauben lediglich eine eingeschr{\"a}nkte Unterst{\"u}tzung von zeitlichen Daten und Anfragen. Das hier vorgestellte zeitliche Modell T-XPath erweitert das bisherige Datenmodell und die Anfragesprache XPath um eine flexible und effiziente Modellierung, Verwaltung und Abfragem{\"o}glichkeit von zeitlichen Informationen. Als Grundlage dienen abstrakte zeitliche Datentypen (ADT), die die gesamte zeitliche Entwicklungsgeschichte eines Wertes kapseln und zus{\"a}tzlich auch unscharfe und ungenaue Zeitangaben ber{\"u}cksichtigen k{\"o}nnen. Die Anfragesprache von T-XPath ist voll abw{\"a}rtskompatibel zu XPath und stellt f{\"u}r zeitliche Anfragen eine Reihe neuer Operationen und Funktionen zur Verf{\"u}gung.}
}

@inproceedings{Weithoner:2003:SQO:2889905.2889926,
 author = {Weith\"{o}ner, Timo and Liebig, Thorsten and Specht, G\"{u}nther},
 title = {Storing and Querying Ontologies in Logic Databases},
 booktitle = {Proceedings of the First International Conference on Semantic Web and Databases, colocated with VLDB 2003},
 series = {SWDB'03},
 year = {2003},
 location = {Berlin, Germany},
 pages = {313--332},
 numpages = {20},
 url = {http://dl.acm.org/citation.cfm?id=2889905.2889926},
 acmid = {2889926},
 publisher = {VLDB-SWDB},
 address = {Aachen, Germany, Germany},
} 

@inproceedings{sabrina220,
       booktitle = {Proc. NetObjectDays 2002},
           title = {Erweiterte ECA-Regeln f{\"u}r verteilte aktive Datenbanksysteme},
          author = {Thomas Heimrich and G{\"u}nther Specht},
            year = {2002},
           pages = {610--617},
             url = {http://dbis.eprints.uni-ulm.de/220/},
        abstract = {Zentrale ECA-Regeln wurden f{\"u}r zentrale aktive Datenbanksysteme entwickelt. In verteilten aktiven Datenbanksystemen tritt zus{\"a}tzlich das Prob-lem der Unerreichbarkeit von Teilsystemen auf und damit die Unentscheidbarkeit von ECA-Bedingungen, die sich auf entfernte Systeme beziehen. In diesem Papier wird daher eine entsprechende Erweiterung der ECA-Regeln f{\"u}r verteilte aktive Datenbanksysteme vorgeschlagen, um auch bei Unerreichbarkeit und Unentscheidbarkeit der ECA-Bedingungen reagieren zu k{\"o}nnen. Dazu wird zun{\"a}chst die ECA-Auswertung zu einer strikten Funktion mit dem Unerreichbar-keitszustand ? erweitert und dann die ECA-Regeln um Alternative Aktionen AA angereichert. Der Einsatz und Vorteil dieser erweiterten ECA-Regeln wird am Beispiel der Erhaltung der Datenkonsistenz in verteilten aktiven Datenbank-systemen gezeigt.}
}

@inproceedings{DBLP:conf/dexaw/BauerS01,
  author       = {Michael G. Bauer and
                  G{\"{u}}nther Specht},
  editor       = {A Min Tjoa and
                  Roland R. Wagner},
  title        = {The Object Oriented Document Model of a Meta System for Existing Digital
                  Libraries},
  booktitle    = {12th International Workshop on Database and Expert Systems Applications
                  {(DEXA} 2001), 3-7 September 2001, Munich, Germany},
  pages        = {933--936},
  publisher    = {{IEEE} Computer Society},
  year         = {2001},
  url          = {https://doi.org/10.1109/DEXA.2001.953174},
}

@misc{schindler7performanz,
  title={Performanz von XML-Datenbanksystemen},
  author={Schindler, Rita and Specht, G{\"u}nther and Schmatloch, Andre},
  publisher={Beitrag zum}
}

@inproceedings{bauer2001anchor,
  title={The anchor and linking concept of a meta system for existing digital libraries},
  author={Bauer, Michael G and Specht, G{\"u}nther},
  booktitle={7th MIK-Workshop, Proc. of Netobjectdays},
  pages={260--265},
  year={2001}
}

@inproceedings{bauer2001enhancing,
  title={Enhancing digital library documents by a posteriori cross linking using XSLT},
  author={Bauer, Michael G and Specht, G{\"u}nther},
  booktitle={International Conference on Theory and Practice of Digital Libraries},
  pages={95--102},
  year={2001},
  organization={Springer}
}

@techreport{ I0109,
	author = "Michael G. Bauer and Guenther Specht", 
	title = "Die konzeptionelle und funktionelle Weiterentwicklung des multimedialen digitalen Meta-Bibliothekssystems OMNIS/2",
	url = "http://mediatum.ub.tum.de/download/1094532/1094532.pdf",
	institution = "Technische Universität München, Institut für Informatik",
	year = "2001",
}

@inproceedings{DBLP:conf/dexaw/BauerS01,
  author       = {Michael G. Bauer and
                  G{\"{u}}nther Specht},
  editor       = {A Min Tjoa and
                  Roland R. Wagner},
  title        = {The Object Oriented Document Model of a Meta System for Existing Digital
                  Libraries},
  booktitle    = {12th International Workshop on Database and Expert Systems Applications
                  {(DEXA} 2001), 3-7 September 2001, Munich, Germany},
  pages        = {933--936},
  publisher    = {{IEEE} Computer Society},
  year         = {2001},
  url          = {https://doi.org/10.1109/DEXA.2001.953174},
  doi          = {10.1109/DEXA.2001.953174},
}

@inproceedings{specht2000information,
  title={Information filtering and personalisation in databases using Gaussian curves},
  author={Specht, G{\"u}nther and Kahabka, Thomas},
  booktitle={Database Engineering and Applications Symposium, 2000 International},
  pages={16--24},
  year={2000},
  organization={IEEE}
}

@Inbook{Specht2000,
author="Specht, G{\"u}nther
and Bauer, MichaelG.",
editor="Borbinha, Jos{\'e}
and Baker, Thomas",
title="OMNIS/2: A Multimedia Meta System for Existing Digital Libraries",
bookTitle="Research and Advanced Technology for Digital Libraries: 4th European Conference, ECDL 2000 Lisbon, Portugal, September 18--20, 2000 Proceedings",
year="2000",
publisher="Springer Berlin Heidelberg",
address="Berlin, Heidelberg",
pages="180--189",
isbn="978-3-540-45268-3",
doi="10.1007/3-540-45268-0_17",
url="http://dx.doi.org/10.1007/3-540-45268-0_17"
}

@Inbook{Specht2000,
author="Specht, G{\"u}nther
and von Enderndorf, Patrick Freiherr Harsdorf
and Kahabka, Thomas
and Peterander, Franz",
editor="Ibrahim, Mohamed
and K{\"u}ng, Josef
and Revell, Norman",
title="Awareness in Interactive Database Applications",
bookTitle="Database and Expert Systems Applications: 11th International Conference, DEXA 2000 London, UK, September 4--8, 2000 Proceedings",
year="2000",
publisher="Springer Berlin Heidelberg",
address="Berlin, Heidelberg",
pages="203--211",
isbn="978-3-540-44469-5",
doi="10.1007/3-540-44469-6_19",
url="http://dx.doi.org/10.1007/3-540-44469-6_19"
}

@Inbook{Specht2000,
author="Specht, G{\"u}nther
and Zoller, Peter",
editor="Lu, Hongjun
and Zhou, Aoying",
title="HMT: Modeling Temporal Aspects in Hypermedia Applications",
bookTitle="Web-Age Information Management: First International Conference, WAIM 2000 Shanghai, China, June 21--23, 2000 Proceedings",
year="2000",
publisher="Springer Berlin Heidelberg",
address="Berlin, Heidelberg",
pages="259--271",
isbn="978-3-540-45151-8",
doi="10.1007/3-540-45151-X_25",
url="http://dx.doi.org/10.1007/3-540-45151-X_25"
}

techreport{vhb_1999,
  author = {Arbeitsgruppe Technische Realisierung der Virtuellen Hochschule Bayern (VHB)},
  title={Virtuelle Hochschule Bayern – Grundzüge einer technischen Konzeption},
  Bayerisches Staatsministerium für Wissenschaft, Forschung und Kunst},
  year={1999},
  pageno = {17},
}

@techreport{SpechtBauer1999,
author={Specht, Günther and Bauer, Michael},
title={Systemarchitektur und Funktionalität des multimedialen digitalen Bibliothekssystems OMNIS/2},
institution={TUM-I9924, Technische Universität München},
year={1999}
} 

@incollection{schmidt1999java,
  title={Java, XML und Servlets zur Integration datenbankbasierter Applikationen im web},
  author={Schmidt, Albrecht and Specht, G{\"u}nther},
  booktitle={JIT’98 Java-Informations-Tage 1998},
  pages={249--259},
  year={1999},
  publisher={Springer}
}

@techreport{SpechtZirkel1999,
author={Specht, Günther and Zirkel, Martin},
title={MultiMAP/2: Netzzugang und Netzbetrieb für das multimediale Datenbanksystem MultiMAP},
institution={TU München, Institut für Informatik},
year={TUM-I9920},
number={1999}
} 

@inproceedings{SpechtSchmidt1998,
  author={Specht, Günther and Schmidt, A.},
  title={Java, XML und Servlets zur Integration datenbankbasierter Applikationen im Web},
  booktitle={Proc. Java-Informations-Tage (JIT ’98)},
  year={1998},
  pages={259--268},
  publisher={Springer}
}

@inproceedings{specht1998architekturen,
  title={Architekturen von Multimedia-Datenbanksystemen zur Speicherung von Bildern und Videos},
  author={Specht, G{\"u}nther},
  booktitle={Workshop der Inhaltsbezogene Suche von Bildern und Videosequenzen in digitalen multimedialen Archiven},
  volume={22},
  pages={7--25},
  year={1998}
}

1998
@book{habil_specht_1998,
    author = {G{\"u}nther Specht},
    title = {Multimedia-Datenbanksysteme: Modellierung - Architektur - Retrieval},
    publisher = {Habilitationsschrift, Technische Universität München},
    year = {1998},
    pageno = {270},
}

@article{specht1998lola,
  title={O!-LOLA--extending the deductive database system lola by object-oriented logic programming},
  author={Specht, G{\"u}nther},
  journal={Informatica},
  volume={9},
  number={1},
  pages={107--117},
  year={1998},
  publisher={IOS Press}
}

@inproceedings{specht1997introducing,
  title={Introducing parallelism in multimedia database systems},
  author={Specht, G{\"u}nther and Zimmermann, Stephan and Clausnitzer, Alexander},
  booktitle={Parallel Algorithms/Architecture Synthesis, 1997. Proceedings., Second Aizu International Symposium},
  pages={348--355},
  year={1997},
  organization={IEEE}
}

@article{specht1997complexity,
  title={Complexity analysis of link navigation in dexter based hypermedia database systems},
  author={Specht, G{\"u}nther},
  journal={Informatica},
  volume={8},
  number={1},
  pages={23--42},
  year={1997},
  publisher={IOS Press}
}

@inproceedings{kahabka1997gras,
  title={GRAS: An Adaptive Personalization Scheme for Hypermedia Databases},
  author={Kahabka, Thomas and Korkea-aho, Mari and Specht, G{\"u}nther},
  booktitle={Proc. of the 2nd Int. Conference on Hypertext - Information Retrieval - Multimedia (HIM '97)},
  pages={279--292},
  year={1997},
}

@inproceedings{snowmed_holzner_1996,
  author = {M. Holzner and M. Adler and M. Fischer and G. Specht},
  title = {Graphische Darstellung von Differentialdiagnosen in einem Begriffsnetz unter Verwendung von Snomed-kodierten Hypothesen},
  booktitle = {Proceedings of the 41. Jahrestagung der Deutschen Gesellschaft für Medizinische Informatik, Biometrie und Epidemiologie (GMDS '96)},
  location = {15.-19.9.96 in Bonn},
  year = {1996},
}

@book{habil_specht_1998,
    author = {Mari Korkea-aho and G{\"u}nther Specht and Janna Saarela and Reijo Sulonen (Ed.)},
    title = {Fundamentals and Trends in Multimedia Database Systems},
    publisher = {Helsinki University of Technology Press, Otaniemi, Helsinki},
    ISBN = { 951-22-3341-X},
    year = {1996},
    pageno = {127},
}

@article{untherauswertung,
  title={Auswertung der Migration eines Multimedia-Informationssystems von einem relationalen auf ein objektorientiertes Datenbanksystem},
  author={unther Specht, G and Hofmann, Michael}
}

@incollection{specht1995amos,
  title={Amos: a natural language parser implemented as a deductive database in LOLA},
  author={Specht, Gunther and Freitag, Burkhard},
  booktitle={Applications of logic databases},
  pages={197--215},
  year={1995},
  publisher={Springer}
}

@article{specht1995multimed,
  title={MultiMED-ein Multimedia-Datenbanksystem zur Aus-und Weiterbildung in der R{\"o}ntgendiagnostik in der Orthop{\"a}die},
  author={Specht, Gunther and Bauer, Martin},
  journal={Hypermedia in der Aus-und Weiterbildung, Schriften zur Informationswissenschaft},
  volume={17},
  pages={209--210},
  year={1995}
}

@inproceedings{multibht_specht_1995,
  author={Adrian Taciulescu and Specht, G{\"u}nther},
  title={Erweiterung des Deduktiven Datenbanksystems LOLA um objektorientierte Logikprogrammierung},
  editors = {L. Dreschler-Fischer and S. Pribbenow},
  booktitle = {KI-95 Activities, Proceedings of the 19. Annual German Conference on Artificial Intelligence (KI-95)},
  location = {Bielefeld, 11.-13. September 1995},
  publisher = {Gesellschaft für Informatik (GI)},
  address = {Bonn},
  year = {1995},
  pages = {50-51},
}

@article{multibht_specht_1995,
 author={Specht, G{\"u}nther},
  title={MultiBHT - ein multimediales Datenbanksystem zur Sprachanalyse - Zur multimedialen Integration und Aufbereitung rechnergestützter Sprachanalysen am Beispiel des Althebräischen im Projekt BH^t},
  journal={Sonderdruck, Fakultät für Altertumskunde,
LMU München},
  year={1995},
 pages = {1-9}
}

@inproceedings{specht1995montague,
  title={Montague grammars as deductive databases},
  author={Specht, G{\"u}nther and Seeberger, Stefan},
  booktitle={International Conference on Deductive and Object-Oriented Databases},
  pages={363--377},
  year={1995},
  organization={Springer}
}

@inproceedings{tracer_specht_1994,
  title={Tracer für deduktive Datenbanken als Logikprogramm-Transformation},
  author={Specht, G{\"u}nther},
  booktitle={Kunze J., Stoyan H. (Hrsg): KI-94 Activities, In Proceedings of the 18. Jahrestagung für Künstliche Intelligenz, Saarbrücken},
  pages={103-110},
  year={1994},
  organization={Gesellschaft für Informatik (GI), Bonn}
}

@inproceedings{explanationtrees_specht_1994,
  title={Explanation Trees for positive and negated Answers in Deductive Database Systems},
  author={Specht, G{\"u}nther},
  booktitle={Entwicklung, Test und Wartung deklarativer KI-Programme, Workshop zur 18. Jahrestagung für Künstliche Intelligenz in Saarbrücken},
  pages={103-110},
  year={1994},
  organization={Gesellschaft für Mathematik und Datenverarbeitung}
}

@book{infix-Specht,
  author       = {G{\"{u}}nther Specht},
  title        = {Source-to-Source Transformationen zur Erkl{\"{a}}rung des Programmverhaltens
                  bei deduktiven Datenbanken},
  series       = {{DISKI}},
  volume       = {42},
  publisher    = {Infix Verlag, St. Augustin, Germany},
  year         = {1993},
  url          = {https://d-nb.info/931342074},
  isbn         = {3-929037-42-4}
}

@techreport{lolamanual_specht_1993,
  title        = {Das LOLA-System - Benutzeranleitung zur Version 9},
  author       = {Günther Specht and Burkhard Freitag and Heribert Schütz},
  organization = {Technische Universität München},  
  address      = {Technische Universität München, Institut für Informatik},
  month        = {November},
  year         = 1993,
}

@article{specht1993generating,
  title={Generating Explanation Trees even for Negations in Deductive DataBase Systems.},
  author={Specht, G{\"u}nther},
  journal={Logic Programming Environments (LPE) 1993},
  volume={1993},
  pages={8--13},
  year={1993}
}

@inproceedings{specht1993amos,
  title={AMOS: A Natural Language Parser written in LOLA},
  author={Specht, G{\"u}nther and Freitag, Burkhard and Sch{\"u}tz, Heribert},
  booktitle={Proceedings of the Workshop on Programming with Logic Databases. In Conjunction with ILPS, Vancouver, BC, Canada, October 30, 1993},
  publisher = {University of Wisconsin},
  pages={124--133},
  year={1993}
}

@techreport{lola_with_sql_access_specht_1993,
  author = {Freitag, Burkhard and Sch{\"u}tz, Heribert and Specht, G{\"u}nther},
  title={LOLA - a deductive database system with integrated SQL-database access},
  institution={TU M{\"u}nchen, Institut f{\"u}r Informatik},
  year={1993},
}

@inproceedings{DBLP:conf/objekt/FreitagSSBG92,
  author       = {Burkhard Freitag and
                  Heribert Sch{\"{u}}tz and
                  G{\"{u}}nther Specht and
                  Rudolf Bayer and
                  Ulrich G{\"{u}}ntzer},
  editor       = {R. Bayer and
                  T. H{\"{a}}rder and
                  P. C. Lockemann},
  title        = {{LOLA} - ein deduktives Datenbanksystem},
  booktitle    = {Objektbanken f{\"{u}}r Experten},
  pages        = {1--28},
  publisher    = {Springer},
  year         = {1992},
}

@inproceedings{freitag1991lola,
  title={LOLA-a logic language for deductive databases and its implementation},
  author={Freitag, Burkhard and Sch{\"u}tz, Heribert and Specht, G{\"u}nther},
  booktitle={Proceedings of the Second International Symposium on Database Systems for Advanced Applications},
  pages={216--225},
  year={1991},
  organization={World Scientific Press}
}

@techreport{ded-dbs-comparison_specht_92,
  author={Specht, G{\"u}nther},
  title={LOLA, LDL, NAIL!, RDL, ADITI and STARBURST: A Comparison of Deductive Database Systems},
  institution={TU M{\"u}nchen, Institut f{\"u}r Informatik},
  year={1991},
}

@article{kempe1991cl,
  title={CL/TB an allegro common Lisp programming interface for TransBase},
  author={Kempe, Johann and Lenz, T and Freitag, Burkhard and Sh{\"u}tz, H and Specht, G{\"u}nther},
  journal={ACM SIGPLAN Notices},
  volume={26},
  number={8},
  pages={60--69},
  year={1991},
  publisher={ACM}
}

@article{freitag_schuetz_specht_lola_1991,
   author = {Freitag, Burkhard and Sch{\"u}tz, Heribert and Specht, G{\"u}nther},
   title = {LOLA - A Logic Language for Deductive Databases},
   journal = {Wissenschaftliche Zeitschrift, No. 1/2, Leipzig},
   year = {1991},
   pages = {19-36},
}

@incollection{specht1991steuerung,
  title={Zur Steuerung und Optimierung der SIP-Auswahl in der Magic Set Transformation},
  author={Specht, G{\"u}nther and Krone, Oliver},
  booktitle={GWAI-91 15. Fachtagung f{\"u}r K{\"u}nstliche Intelligenz},
  pages={33--42},
  year={1991},
  publisher={Springer}
}

@book{amos-specht-1990,
     author = {G{\"u}nther Specht},
     title = {Wissensbasierte Analyse althebräischer Morphosyntax; Das Expertensystem AMOS},          
     publisher = {EOS-Verlag, St. Ottilien},
     year = {1990},
     ISBN = {3-88096-535-8},
        
}

@techreport{salomo_eckardt_specht_1989,
  title        = {SALOMO - Searching Algorithm On MOrphology},
  author       = {Eckhardt, Walter and Specht, G{\"u}nther},
  organization = {Ludwig-Maximilians-Universität München, Institut für Assyiologie und Hethitologie},  
  address      = {Ludwig-Maximilians-Universität München, Institut für Assyiologie und Hethitologie},
  year         = 1989,
}

@techreport{lola_specht_1989,
  author={Specht, G{\"u}nther},
  title={Die Logiksprache LOLA und ihre interne Darstellung durch Relationen},
  institution={TU M{\"u}nchen, Institut f{\"u}r Informatik},
  year={1989},
  number= {I-8910}
}

@inproceedings{freitag1989parsing,
  title={A Parsing System based on a Deductive Database},
  author={Freitag, Burkhard and Specht, G{\"u}nther},
  booktitle={GWAI-89 13th German Workshop on Artificial Intelligence},
  pages={280--289},
  year={1989},
  organization={Springer}
}

@techreport{amosexpertsystem_specht_1988,
  author={G{\"u}nther Specht and Walter Eckardt and Renate Hums},
  title={An Expert System for the Morphosyntactical Analysis of Old-hebrew Texts},
  institution={TU M{\"u}nchen, Institut f{\"u}r Informatik},
  year={1988},
}

@inproceedings{amos_specht_1988,
  title={AMOS - Ein Expertensystem zur morphosyntaktischen Analyse  althebräischer Texte},
  author={G{\"u}nther Specht},
  booktitle={IBM Wissenschaftliches Forum '88 - Informationsverarbeitung in Lehre und Forschung},
  address={München},
  pages={63 f},
  year={1988},
  publisher={IBM},
  organization={}
}

@article{freitag_schuetz_specht_lola_1991,
   author = {Specht, G{\"u}nther},
   title = {alomo - Ein System zur morphologischen Analyse althebräischer Texte},
   journal = {Rundbrief des Fachausschusses 1.2 Künstliche Intelligenz und Mustererkennung in der Gesellschaft für Informatik, St. Augustin, München},
 ISNN = {0721-5150},
   year = {1987},
   pages = {83-84},
}