Publications
See also my Google Scholar profile and my DBLP profile. The publications' source code is available at GitHub.
Journal Publications
2024
Michael Straub, Johannes Reber, Tarek Saier, Robert Borkowski, Shi Li, Dmitry Khomchenko, André Richter, Michael Färber, Tobias Käfer, and René Bonk: "ML approaches for OTDR diagnoses in passive optical networks—event detection and classification: ways for ODN branch assignment", In: Journal of Optical Communications and Networking, 2024. [PDF]
Alberto Gómez-Espés, Michael Färber, Adam Jatowt: "Benefits of International Collaboration in Computer Science: A Case Study of China, the European Union, and the United States", In: Scientometrics, 2024. [PDF]
2023
Michael Färber, Lazaros Tampakis: "Analyzing the Impact of Companies on AI Research Based on Publications", In: Scientometrics, 2023. [PDF]
Michael Färber, Shuzhou Yuan, Melissa Coutinho: "Biases in Scholarly Recommender Systems: Impact, Prevalence, and Mitigation", In: Scientometrics, 128(5), 2023, pp. 2703–2736. (in DBLP) [PDF]
2022
Michael Färber, Lin Ao: "The Microsoft Academic Knowledge Graph Enhanced: Author Name Disambiguation, Publication Classification, and Embeddings", In: Quantiative Science Studies, 3(1), 2022. (in DBLP) [PDF]
2021
Michael Färber, David Lamprecht: "The Data Set Knowledge Graph: Creating a Linked Open Data Source for Data Sets", In: Quantitative Science Studies, 2(4), 2021, pp. 1324–1355. (in DBLP) [PDF]
Tarek Saier, Michael Färber, Tornike Tsereteli: "Cross-Lingual Citations in English Papers: A Large-Scale Analysis of Prevalence, Usage, and Impact". In: International Journal on Digital Libraries, 2021. (in DBLP) [PDF]
Jiexin Wang, Adam Jatowt, Michael Färber, Masatoshi Yoshikawa: "Improving Question Answering for Event-Focused Questions in Temporal Collections of News Articles". In: Information Retrieval Journal, 24(1), 2021, pp. 29–54. (in DBLP) [PDF]
2020
Michael Färber, Adam Jatowt. "Citation Recommendation: Approaches and Datasets". In: International Journal on Digital Libraries 21(4), 2020, pp. 375–405. (in DBLP) [PDF]
Tarek Saier, Michael Färber: "unarXive: A Large Scholarly Data Set with Publications’ Full-Text, Annotated In-Text Citations, and Links to Metadata". In: Scientometrics, 25(3), 2020, pp. 3085–3108. (in DBLP) [PDF]
2018
Michael Färber, Carsten Menne, Andreas Harth. “A Linked Data Wrapper for CrunchBase”. In: Semantic Web Journal 9(4). IOS Press, 2018, pp. 505–5015. (in DBLP) [PDF]
Michael Färber, Frederic Bartscherer, Carsten Menne, Achim Rettinger. “Linked Data Quality of DBpedia, Freebase, OpenCyc, Wikidata, and YAGO”. In: Semantic Web Journal 9(2). IOS Press, 2018, pp. 77–129. (in DBLP) [PDF] SWJ Outstanding Paper Award 2018
2017
Lei Zhang, Andreas Thalhammer, Achim Rettinger, Michael Färber, Aditya Mogadala, Ronald Denaux. “The xLiMe System: Cross-lingual and Cross-modal Semantic Annotation, Search and Recommendation over Live-TV, News and Social Media Streams”. In: Journal of Web Semantics, Vol. 46. Elsevier, 2017, pp. 20–30. (in DBLP) [PDF]
2015
Michael Färber. “Using a Semantic Wiki for Technology Forecast and Technology Monitoring”. In: Program: Electronic Library and Information Systems 50(2), 2015, pp. 225–242. (in DBLP) [PDF]
Conference and Workshop Publications
2024
Bolei Ma, Ercong Nie, Shuzhou Yuan, Helmut Schmid, Michael Färber, Frauke Kreuter, Hinrich Schütze: "ToPro: Token-Level Prompt Decomposition for Cross-Lingual Sequence Labeling Tasks", Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (EACL'24), Malta, 2024. [PDF]
Tarek Saier, Mayumi Ohta, Takuto Asakura, Michael Färber: "HyperPIE: Hyperparameter Information Extraction from Scientific Publications", Proceedings of the 46th European Conference on Information Retrieval (ECIR'24), Glasgow, Scotland, 2024. [PDF]
Chen Shao, Elias Giacoumidis, Shi Li, Jiali Lei, Tobias Käfer, Michael Färber, Andre Richter: "A Novel Machine Learning-based Equalizer for a Downstream 100G PAM-4 PON", Proceedings of the 2024 Optical Fiber Communication Conference and Exhibition (OFC'24), 2024. [PDF]
Juwal Regev, Adam Jatowt, Michael Färber: "Future Timelines: Extraction and Visualization of Future-related Content From News Articles", Proceedings of the 17th International Conference on Web Search and Data Mining (WSDM'24), Mérida, Mexico, 2024. [PDF]
2023
Kristian Noullet, Ayoub Ourgani, Michael Färber: "A Full-Fledged Framework for Combining Entity Linking Systems and Components", Proceedings of the 12th Knowledge Capture Conference (K-CAP'23), Pensacola, Florida, USA, 2023. [PDF]
Michael Färber, David Lamprecht: "Linked Papers With Code: The Latest in Machine Learning as an RDF Knowledge Graph". Proceedings of the 22nd International Semantic Web Conference (ISWC'23), Athens, Greece, 2023. [PDF]
Michael Färber, David Lamprecht, Johan Krause, Linn Aung, Peter Haase: "SemOpenAlex: The Scientific Landscape in 26 Billion RDF Triples". Proceedings of the 22nd International Semantic Web Conference (ISWC'23), Athens, Greece, 2023. [PDF]
Michael Straub, Tarek Saier, Johannes Reber, Robert Borkowski, Shi Li, André Richter, Michael Färber, Tobias Käfer, René Bonk: "AI-Based OTDR Event Detection, Classification and Assignment to ODN Branches in Passive Optical Networks", Proceedings of the 2023 European Conference on Optical Communication (ECOC'23), 2023. [PDF]
Michael Färber, Nicholas Popovic: "Vocab-Expander: A System for Creating Domain-Specific Vocabularies Based on Word Embeddings". Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP'23), Varna, Bulgaria, 2023. [PDF]
Shuzhou Yuan, Michael Färber: "Evaluating Generative Models for Graph-to-Text Generation". Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP'23), Varna, Bulgaria, 2023. [PDF]
Adam Jatowt, Calvin Gehrer, Michael Färber: "Automatic Hint Generation". Proceedings of the 13th International Conference on the Theory of Information Retrieval (ICTIR'23), Taipei, Taiwan, 2023. [PDF]
David Faragó, Michael Färber, Christian Petrov: "A Full-fledged Commit Message Quality Checker Based on Machine Learning". Proceedings of the 47th Annual IEEE Computers, Software, and Applications Conference (COMPSAC'23), Torino, Italy, 2023. [PDF]
Tarek Saier, Johan Krause, Michael Färber: "unarXive 2022: All arXiv Publications Pre-Processed for NLP, Including Structured Full-Text and Citation Network". Proceedings of the 2023 ACM/IEEE Joint Conference on Digital Libraries (JCDL'23), Santa Fe, New Mexico, USA, 2023. [PDF]
Tarek Saier, Youxiang Dong, Michael Färber: "CoCon: A Data Set on Combined Contextualized Research Artifact Use". Proceedings of the 2023 ACM/IEEE Joint Conference on Digital Libraries (JCDL'23), Santa Fe, New Mexico, USA, 2023. [PDF]
Daniel Bogdoll, Jonas Hendl, Felix Schreyer, Nishanth Gowda, Michael Färber, J. Marius Zöllner: "Impact, Attention, Influence: Early Assessment of Autonomous Driving Datasets". Proceedings of the 8th International Conference on Control and Robotics Engineering (ICCRE'23), Niigata, Japan, 2023. [PDF]
Florian Pickelmann, Michael Färber, Adam Jatowt: "Ablesbarkeitsmesser: A System for Assessing the Readability of German Text", Proceedings of the 45th European Conference on Information Retrieval (ECIR'23), 2023. (in DBLP) [PDF]
2022
Anna Nguyen, Daniel Hagenmayer, Tobias Weller, Michael Färber: "Explaining Convolutional Neural Networks by Tagging Filters". Proceedings of the 5th International Workshop on Advances in Interpretable Machine Learning and Artificial Intelligence (AIMLAI@CIKM’22), Atlanta, Georgia, USA, 2022. [PDF]
Michael Färber, David Lamprecht: "The Green AI Ontology: An Ontology for Modeling the Energy Consumption of AI Models". Proceedings of the 21st International Semantic Web Conference (ISWC'22), Virtual Event, 2022. (in DBLP) [PDF]
Tarek Saier, Meng Luan, Michael Färber: "A Blocking-Based Approach to Enhance Large-Scale Reference Linking", Proceedings of the Workshop on Understanding Literature References in Academic Full Text (ULITE@JCDL'22), Cologne, Germany, 2022. (in DBLP) [PDF]
Chifumi Nishioka, Michael Färber, Tarek Saier: "How Does Author Affiliation affect Preprint Citation Count? Analyzing Citation Bias at the Institution and Country Level", Proceedings of the ACM/IEEE Joint Conference on Digital Libraries (JCDL'22), Cologne, Germany, 2022. (in DBLP) [PDF]
Nicholas Popovic, Michael Färber: "Few-Shot Document-Level Relation Extraction", Proceedings of the 2022 Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL’22), Seattle, USA, 2022. (in DBLP) [PDF]
Nicholas Popovic, Michael Färber: "AIFB-WebScience at SemEval-2022 Task 12: Relation Extraction First – Using Relation Extraction to Identify Entities", Proceedings of the 16th International Workshop on Semantic Evaluation (SemEval@NAACL-HLT’22), Seattle, USA, 2022. (in DBLP) [PDF]
Michael Färber, Christoph Braun, Nicholas Popovic, Tarek Saier and Kristian Noullet: "Which Publications' Metadata Are in Which Bibliographic Databases? A System for Exploration", Proceedings of the 12th International Workshop on Bibliometric-enhanced Information Retrieval (BIR@ECIR'22), 2022. (in DBLP) [PDF]
Leopold Müller, Lars Böcking, Michael Färber: "Safety Aware Reinforcement Learning by Identifying Comprehensible Constraints in Expert Demonstrations", Proceedings of the Workshop on Artificial Intelligence Safety 2022 (SafeAI@AAAI'22), Virtual Event, 2022. (in DBLP) [PDF]
Michael Färber, Nicolas Weber: "When to Use Which Neural Network? Finding the Right Neural Network Architecture for a Research Problem". Proceedings of the AAAI Workshop on Scientific Document Understanding (SDU@AAAI'22), Virtual Event, 2022. (in DBLP) [PDF]
Igor Shapiro, Tarek Saier and Michael Färber: "Sequence Labeling for Citation Field Extraction from Cyrillic Script References". Proceedings of the AAAI Workshop on Scientific Document Understanding (SDU@AAAI'22), Virtual Event, 2022. [PDF]
2021
Michael Färber, Ann-Kathrin Leisinger: "Recommending Datasets for Scientific Problem Descriptions". Proceedings of the 30th ACM International Conference on Information and Knowledge Management (CIKM’21), Virtual Event, 2021. (in DBLP) [PDF]
Michael Färber, Ann-Kathrin Leisinger: "DataHunter: A System for Finding Datasets Based on Scientific Problem Descriptions". Proceedings of the 15th ACM Recommender Systems Conference (RecSys’21), Amsterdam, The Netherlands, 2021. (in DBLP) [PDF]
Anna Nguyen, Franz Krause, Daniel Hagenmayer, Michael Färber. "Quantifying Explanations of Neural Networks in E-Commerce Based on LRP". Proceedings of the 2021 Conference on Machine Learning and Knowledge Discovery in Databases (ECML-PKDD’21), Virtual Event, 2021. (in DBLP) [PDF]
Kristian Noullet, Samuel Printz, Michael Färber. "Combining Linking Techniques for Everyone". Proceedings of the 18th Extended Semantic Web Conference (ESWC’21), Virtual Event, 2021. (in DBLP) [PDF]
Igor Shapiro, Johan Krause, Tarek Saier, Michael Färber. "Bootstrapping Multilingual Metadata Extraction: A Showcase in Cyrillic". Proceedings of the 2nd Workshop on Scholarly Document Processing (SDP@NAACL’21), Virtual Event, 2021. [PDF]
Michael Färber, Frederic Bartscherer: "Media Bias Everywhere? A Vision for Dealing with the Manipulation of Public Opinion". Proceedings of the 2nd International Workshop on Algorithmic Bias in Search and Recommendation (Bias@ECIR'21), 2021. (in DBLP) [PDF]
Michael Färber, Vinzenz Zinecker, Isabela Bragaglia, Sebastian Celis, Maria Duma: "C-Rex: A Comprehensive System for Recommending In-Text Citations with Explanations". Proceedings of the 1st International Workshop on Scientific Knowledge: Representation, Discovery, and Assessment (Sci-K'21@WWW'21), Virtual Event, 2021. (in DBLP) [PDF]
Adam Jatowt, I-Chen Hung, Michael Färber, Ricardo Campos and Masatoshi Yoshikawa. "Exploding TV Sets & Disappointing Laptops: Suggesting Interesting Content in News Archives based on Surprise Estimation". Proceedings of the 43th European Conference on Information Retrieval (ECIR’21), Virtual Event, 2021. (in DBLP) [PDF]
Anna Nguyen, Adrian Oberföll, Michael Färber. "Right for the Right Reasons: Making Image Classification Intuitively Explainable". Proceedings of the 43th European Conference on Information Retrieval (ECIR’21), Virtual Event, 2021. (in DBLP) [PDF]
Michael Färber, Alexander Albers, Felix Schüber: "Identifying Used Methods and Datasets in Scientific Publications". In Proceedings of the AAAI-21 Workshop on Scientific Document Understanding (SDU'21)@AAAI'21, Virtual Event, 2021. (in DBLP) [PDF]
Boulos El Asmar, Syrine Chelly, Michael Färber: "AWARE: An Ontology for Situational Awareness of Autonomous Vehicles in Manufacturing". Proceedings of the Commonsense Knowledge Graph Workshop (CSKG'21)@AAAI'21, Virtual Event, 2021. [PDF]
2020
Tarek Saier, Michael Färber: "A Large-Scale Analysis of Cross-Lingual Citations in English Papers". Proceedings of the 22nd International Conference on Asia-Pacific Digital Libraries (ICADL'20), Virtual Event, 2020, pp. 122-138. (in DBLP) [PDF]
Anna Nguyen, Tobias Weller, Michael Färber, York Sure-Vetter: "Making Neural Networks FAIR". Proceedings of the 2nd Iberoamerican Conference and First Indo-American Conference (KGSWC'20), Virtual Event, 2020, pp. 29-44. (in DBLP) [PDF]
Boulos El Asmar, Syrine Chelly, Nour Azzi, Lynn Nassif, Jana El Asmar, Michael Färber: "AWARE: A Situational Awareness Framework for Facilitating Adaptive Behavior of Autonomous Vehicles in Manufacturing". Proceedings of the 19th International Semantic Web Conference (ISWC'20), Virtual Event, 2020, pp. 651-666. (in DBLP) [PDF]
Michael Färber, Victoria Burkard, Adam Jatowt, Sora Lim: "A Multidimensional Dataset Based on Crowdsourcing for Analyzing and Detecting News Bias". Proceedings of the 29th ACM International Conference on Information and Knowledge Management (CIKM'20), Virtual Event, 2020, pp. 3007-3014. (in DBLP) [PDF]
Chifumi Nishioka, Michael Färber: "Trends of Publications' Citations and Altmetrics Based on Open Access Types". Proceedings of the 20th ACM/IEEE Joint Conference on Digital Libraries (JCDL'20), Virtual Event, 2020, pp. 503-504. (in DBLP) [PDF]
Michael Färber: "Analyzing the GitHub Repositories of Research Papers". Proceedings of the 20th ACM/IEEE Joint Conference on Digital Libraries (JCDL'20), Xi'an, China, 2020, pp. 491-492. (in DBLP) [PDF]
Michael Färber, Ashwath Sampath. "HybridCite: A Hybrid Model for Context-Aware Citation Recommendation". Proceedings of the 20th ACM/IEEE Joint Conference on Digital Libraries (JCDL'20), Xi'an, China, 2020, pp. 117-126. (in DBLP) [PDF]
Michael Färber, Benjamin Scheer, Frederic Bartscherer: "Who's Behind That Website? Classifying Websites by the Degree of Commercial Intent", Proceedings of the 20th International Conference on Web Engineering (ICWE’20), Helsinki, Finnland, 2020, pp. 130-145. (in DBLP) [PDF]
Sora Lim, Adam Jatowt, Michael Färber, Masatoshi Yoshikawa: "Annotating and Analyzing Biased Sentences in News Articles using Crowdsourcing", Proceedings of the 12th Conference on Language Resources and Evaluation (LREC'20), Marseille, France, 2020. (in DBLP) [PDF]
Kristian Noullet, Rico Mix and Michael Färber: "KORE 50^DYWC: An Evaluation Data Set for Entity Linking Based on DBpedia, YAGO, Wikidata and Crunchbase", Proceedings of the 12th Conference on Language Resources and Evaluation (LREC'20), Marseille, France, 2020. (in DBLP) [PDF]
Jiexin Wang, Adam Jatowt, Michael Färber, Masatoshi Yoshikawa: "Answering Event-Related Questions over Long-term News Article Archives". Proceedings of the 42th European Conference on Information Retrieval (ECIR'20), Lisbon, Portugal, 2020, pp. 774-789. (in DBLP) [PDF]
Tarek Saier, Michael Färber: "Semantic Modelling of Citation Contexts for Context-aware Citation Recommendation". Proceedings of the 42th European Conference on Information Retrieval (ECIR'20). Lisbon, Portugal, 2020, pp. 220-233. (in DBLP) [PDF]
Michael Färber, Timo Klein, Joan Sigloch: "Neural Citation Recommendation: A Reproducibility Study". Proceedings of the 10th International Workshop on Bibliometric-enhanced Information Retrieval (BIR'20). Lisbon, Portugal, 2020, pp. 66-74. (in DBLP) [PDF]
2019
Michael Färber: "The Microsoft Academic Knowledge Graph: A Linked Data Source with 8 Billion Triples of Scholarly Data". Proceedings of the 18th International Semantic Web Conference (ISWC'19). Auckland, New Zealand, 2019, pp. 113-129. (in DBLP) [PDF]
Michael Färber, Agon Qurdina, Lule Ahmedi: "Identifying Twitter Bots Using a Convolutional Neural Network". Working Notes of CLEF 2019 - Conference and Labs of the Evaluation Forum (CLEF'19). Lugano, Switzerland, 2019, pp. 1-8. (in DBLP) [PDF]
Michael Färber, Ashwath Sampath: "Determining How Citations Are Used in Citation Contexts". Proceedings of the 23th International Conference on Theory and Practice of Digital Libraries (TPDL'19). Oslo, Norway, 2019, pp. 380-383. (in DBLP) [PDF]
Chifumi Nishioka, Michael Färber: "Evaluating the Availability of Open Citation Data". Proceedings of the 4th Joint Workshop on Bibliometric-enhanced Information Retrieval and Natural Language Processing for Digital Libraries (BIRNDL'19). Paris, France, 2019, pp. 123-129. (in DBLP) [PDF]
Victor Anthony Arrascue Ayala, Polina Koleva, Anas Alzogbi, Matteo Cossu, Michael Färber, Patrick Philipp, Guilherme Schievelbein, Io Taxidou, Georg Lausen: "Relational Schemata for Distributed SPARQL Query Processing". Proceedings of the International Workshop on Semantic Big Data (SBD@SIGMOD'19). Amsterdam, The Netherlands, 2019, pp. 1-6. (in DBLP) [PDF]
Michael Färber, Chifumi Nishioka, Adam Jatowt: "ScholarSight: Visualizing Temporal Trends of Scientific Concepts". Proceedings of the 19th ACM/IEEE Joint Conference on Digital Libraries (JCDL’19). Urbana-Champaign, Illinois, USA, 2019, pp. 438-439. (in DBLP) [PDF]
Michael Färber, Agon Qurdina, Lule Ahmedi: “Team Peter Brinkmann at SemEval-2019 Task 4: Detecting Biased News Articles Using Convolutional Neural Networks”. Proceedings of the 13th International Workshop on Semantic Evaluation (SemEval@NAACL-HLT’19). Minneapolis, USA, 2019, pp. 1032-1036. (in DBLP) [PDF]
Tarek Saier, Michael Färber: "Bibliometric-Enhanced arXiv: A Data Set for Paper-Based and Citation-Based Tasks". Proceedings of the 8th International Workshop on Bibliometric-enhanced Information Retrieval (BIR’19). Cologne, Germany, 2019, pp. 14-26. (in DBLP) [PDF]
Michael Färber, Adam Jatowt: "Finding Temporal Trends of Scientific Concepts". Proceedings of the 8th International Workshop on Bibliometric-enhanced Information Retrieval (BIR’19). Cologne, Germany, 2019, pp. 132-139. (in DBLP) [PDF]
Michael Färber, Ashwath Sampath, Adam Jatowt: "PaperHunter: A System for Exploring Papers and Citation Contexts". Proceedings of the 41th European Conference on Information Retrieval (ECIR’19). Cologne, Germany, 2019, pp. 246-250. (in DBLP) [PDF]
2018
I-Chen Hung, Michael Färber, Adam Jatowt: "Towards Recommending Interesting Content in News Archives". Proceedings of the 20th International Conference on Asia-Pacific Digital Libraries (ICADL 2018). Waikato, New Zealand, 2018. (in DBLP) [PDF]
Michael Färber, Kristian Noullet, Boulos El Asmar: "Annotating Domain-Specific Texts with Babelfy: A Case Study". Proceedings of the 1st International Workshop on EntitY REtrieval (EYRE 2018). Turin, Italy, 2018. [PDF]
Michael Färber, Yulia Svetashova, Andreas Harth. "Theories about World Representations for the Internet of Things". Proceedings of the 1st International Workshop on Concepts in Action: Representation, Learning, and Application (CARLA 2018). Osnabrück, Germany, 2018. [PDF]
Michael Färber, Alexander Thiemann, Adam Jatowt. "A High-Quality Gold Standard for Citation-based Tasks". Proceedings of the 11th International Conference on Language Resources and Evaluation (LREC 2018). Miyazaki, Japan, 2018, pp. 1885-1889. (in DBLP) [PDF]
Matteo Cossu, Michael Färber, Georg Lausen. "PRoST: Distributed Execution of SPARQL Queries Using Mixed Partitioning Strategies". Proceedings of the 21st International Conference on Extending Database Technology (EDBT 2018). Vienna, Austria, 2018, pp. 469-472. (in DBLP) [PDF]
Michael Färber, Alexander Thiemann, Adam Jatowt. "CITEWERTs: A System Combining Cite-Worthiness with Citation Recommendation". Proceedings of the 40th European Conference on Information Retrieval (ECIR 2018). Grenoble, France, 2018. (in DBLP) [PDF]
Michael Färber, Alexander Thiemann, Adam Jatowt. "To Cite, or Not to Cite? Detecting Citation Contexts in Text". Proceedings of the 40th European Conference on Information Retrieval (ECIR 2018). Grenoble, France, 2018, pp. 598-603. (in DBLP) [PDF]
2017
Victor Anthony Arrascue Ayala, Kemal Cagin Gülsen, Anas Alzogbi, Michael Färber, Marco Muñiz, Georg Lausen. "A Delay-Robust Touristic Plan Recommendation Using Real-World Public Transportation Information". In: Proceedings of the 2nd Workshop on Recommenders in Tourism (RecTour 2017). Como, Italy, 2017, pp. 9–17. (in DBLP) [PDF]
Lei Zhang, Maribel Acosta, Michael Färber, Steffen Thoma and Achim Rettinger. "BreXearch: Exploring Brexit Data Using Cross-Lingual and Cross-Media Semantic Search". In: Proceedings of the ISWC 2017 Posters & Demonstrations Track within the 16th International Semantic Web Conference (ISWC 2017). Vienna, Austria, 2017. (in DBLP) [PDF]
2016
Lei Zhang, Michael Färber, Achim Rettinger. “XKnowSearch!: Exploiting Knowledge Bases for Entity-based Cross-lingual Information Retrieval”. In: Proceedings of the 25th ACM International on Conference on Information and Knowledge Management (CIKM 2016). Indianapolis, IN, USA, 2016, pp. 2425–2428. (in DBLP) [PDF]
Michael Färber, Achim Rettinger, Boulos El Asmar. “On Emerging Entity Detection”. In: Proceedings of the 20th International Conference on Knowledge Engineering and Knowledge Management (EKAW 2016). Bologna, Italy, 2016, pp. 223–238. (in DBLP) [PDF]
Michael Färber, Achim Rettinger, Andreas Harth. “Towards Monitoring of Novel Statements in the News”. In: Proceedings of the 13th Extended Semantic Web Conference (ESWC 2016). Heraklion, Crete, Greece, 2016, pp. 285–299. (in DBLP) [PDF]
2015
Lei Zhang, Michael Färber, Andreas Thalhammer, Aditya Mogadala, Achim Rettinger. “Exploiting Knowledge Bases for Multilingual and Cross-lingual Semantic Annotation and Search”. In: Proceedings of the Semantic Web Challenge at the 14th International Semantic Web Conference (ISWC ‘15). Bethlehem, PA, USA, 2015. [PDF]
Michael Färber, Achim Rettinger. “A Statistical Comparison of Current Knowledge Bases”. In: Joint Proceedings of the Posters and Demos Track of 11th International Conference on Semantic Systems (SEMANTiCS2015) and of the 1st Workshop on Data Science: Methods, Technology and Applications (DSci15). Vienna, Austria, 2015, pp. 18–21. (in DBLP) [PDF]
Michael Färber, Achim Rettinger. “Toward Real Event Detection”. In: Proceedings of the 4th International Workshop on Detection, Representation, and Exploitation of Events in the Semantic Web (DeRiVE 2015). Portoroz, Slovenia, 2015, pp. 24–34. (in DBLP) [PDF]
2014
Michael Färber, Lei Zhang, and Achim Rettinger. “Kuphi - an Investigation Tool for Searching for and via Semantic Relations”. In: The Semantic Web: ESWC 2014 Satellite Events - ESWC 2014 Satellite Events, Anissaras, Crete, Greece, 2014, pp. 349–354. (in DBLP) [PDF]
Lei Zhang, Michael Färber, Achim Rettinger. “xLiD-Lexica: Cross-lingual Linked Data Lexica”. In: Proceedings of the 9th International Conference on Language Resources and Evaluation (LREC 2014). Reykjavik, Iceland, 2014, pp. 2101–2105. (in DBLP) [PDF]
Lei Zhang, Michael Färber, Thanh Tran, and Achim Rettinger. “Exploiting Semantic Annotations for Entity-based Information Retrieval”. In: Proceedings of the ISWC 2014 Posters & Demonstrations Track within the 13th International Semantic Web Conference (ISWC 2014). Riva del Garda, Italy, 2014, pp. 429–432. (in DBLP) [PDF]
2013
Lei Zhang, Achim Rettinger, Michael Färber, Marko Tadic. “A Comparative Evaluation of Cross-Lingual Text Annotation Techniques”. In: Proceedings of the 4th International Conference of the CLEF Initiative (CLEF 2013). Valencia, Spain, 2013, pp. 124–135. (in DBLP) [PDF]
Michael Färber. “Ontology-Supported Document Ranking for Novelty Search”. In: Proceedings of the 10th Extended Semantic Web Conference (ESWC 2013). Montpellier, France, 2013, pp. 639–644. (in DBLP) [PDF]
Michael Färber, Achim Rettinger. “A Semantic Wiki for Novelty Search on Documents”. In: Proceedings of the 13th Dutch-Belgian Workshop on Information Retrieval (DIR ’13). Delft, The Netherlands, 2013, pp. 60–61. (in DBLP) [PDF]
Books & Book Chapters
2021
Michael Färber, Yulia Svetashova, Andreas Harth: “Theories of Meaning for the Internet of Things”. In: Lucas Bechberger, Kai-Uwe Kühnberger and Mingya Liu (eds). “Concepts in Action - Representation, Learning and Application”. In the book series Language, Cognition, and Mind. Cham: Springer, 2021, pp. 37-61. [PDF]
2017
Michael Färber. "Semantic Search for Novel Information". Amsterdam: IOS Press, 2017. (in DBLP)
2015
Michael Färber, Achim Rettinger. “Semantic MediaWiki – ein Werkzeug zum kollaborativen Wissensmanagement”. In: Technologien frühzeitig erkennen, Nutzenpotenziale systematisch bewerten. Ed. by Joachim Warschat, Sven Schimpf, and Markus Korell. Stuttgart, Germany: Fraunhofer, 2015, pp. 70–84.
Non-Peer Reviewed Publications
2023
Michael Färber, Jannik Schwade, Adam Jatowt: "Measuring Variety, Balance, and Disparity: An Analysis of Media Coverage of the 2021 German Federal Election", arXive preprint, 2023. [PDF]
2021
Michael Färber, Anna Steyer: "Towards Full-Fledged Argument Search: A Framework for Extracting and Clustering Arguments from Unstructured Text", arXive preprint, abs/2112.00160, 2021. (in DBLP) [PDF]
Michael Färber, Alexander Klein: "Are Investors Biased Against Women? Analyzing How Gender Affects Startup Funding in Europe", arXive preprint, 2021. (in DBLP) [PDF]
2019
Michael Färber: "Linked Crunchbase: A Linked Data API and RDF Data Set About Innovative Companies". arXiv preprint, abs/1907.08671, 2019. (in DBLP) [PDF]
2018
Michael Färber, Achim Rettinger: "Which Knowledge Graph Is Best for Me?". arXiv preprint, abs/1809.11099, 2018. (in DBLP) [PDF]