Prof. Dr. habil. Dr. rer. nat.
Markus Endres
Researcher, Lecturer, Project Leader
University of Applied Sciences Munich
Scalable and Distributed Data Management
Lothstr. 64 - 80335 Munich - Germany
+49 89 1265 3743
ABOUT ME
Prof. Dr. Markus Endres is a full professor at the University of Applied Sciences Munich, Germany. His research is between database systems, data and knowledge engineering and artificial intelligence covering intelligent automatic information systems by using efficient, scalable analytical methods on Big Data. He studied mathematics and compter science at the University of Augsburg. In 2011, he receivied his PhD for this work on "Semi-Skylines". From 2011 to 2013 he was a lecturer for mathematics at the University of Applied Sciences Munich. In 2016, he has received his habilitation for his work on "Preference Analytics". From 2019 to 2021 he held the Chair for Digital Libraries and Web Information Systems at the University of Passau, and from 2021 until 2023 he was responsible for the Chair of Data and Knowledge Engineering. Since 2023 he is professor for scalable and distributed data management at the University of Applied Sciences Munich. He co-authored more than 90 peer-reviewed articles and is a reviewer for various national and international conferences, journals and workshops.
Find out more about ME at
RESEARCH INTERESTS
- Big Data Analytics, Data Science, Preference Analytics
- Scalable Database Systems
- Data Cleaning, Data Integration
- Maschine Learning, Neural Networks
- Data analytics on parallel and distributed databases
- Processing and analyzing large and complex data
- Processing data streams, e.g., Copernicus-Satellite-Data
- Preference Theory, Personalization and Applications
- Preference-based Database Systems and Search Engines
- Recommender Systems and Preference Mining
- PreferenceSQL
- Intelligent Personalized Information Systems
PUBLICATIONS
Peer-Reviewed Papers and Journals
2024
Renukswamy Chikkamath, Ankit Sharma, Christoph Hewel, Markus Endres. ChatGPT vs. Google Gemini: Assessing AI Frontiers for Patent Prior Art Search Using European Search Reports. 2nd International Workshop on Semantic Technologies and Deep Learning Models for Scientific, Technical and Legal Data, SemTEch4STLD 2024, Hersonissos, Greece
Renukswamy Chikkamath, Zahra Esmaeili, Markus Endres. 2024. Decoding Health Informatics Patents: Investigating Topic Models for Patent Information Retrieval. International Conference on Health Informatics, Intelligent Systems and Networking technologies, HINT 2024, MIT, Manipal, India
Macedo Maia, Markus Endres. 2024. Investigating Questioner's Explicit Information Influences in Transformer-Based Community Question Answering. In 18th IEEE International Conference on Semantic Computing, IEEE-ICSC 2024, Laguna Hills, CA, USA
2023
Renukswamy Chikkamath, Deepak Rastogi, Mahesh Maan and Markus Endres. 2023. Is Your Search Query Well-Formed? A Natural Query Understanding for Patent Prior Art Search. Journal of World Patent Information.
Renukswamy Chikkamath, Rana Fassahat Ali, Christoph Hewel and Markus Endres. 2023. Explainable Artificial Intelligence for Highlighting and Searching in Patent Text. 4th Workshop on Patent Text Mining and Semantic Technologies, PatentSemTech 2023, Taipei, Taiwan
2022
Markus Endres and Macedo Maia. 2022. A comparative study using different question context information on pairwise learning-to-rank CQA transformer models in the home improvement domain. Journal of Data Intelligence 3, 1, 131-148. DOI: 10.26421/JDI3.1-3
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Markus Endres and Renukswamy Chikkamath. 2022. PaSA: a dataset for Patent Sentiment Analysis to highlight patent paragraphs. In 16th International Artificial Conference on Intelligence for Law, 5-6 May 2022, Singapore, Singapore.
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Markus Endres, Renukswamy Chikkamath, Vishvapalsinhji Ramsinh Parmar and Yasser Otiefy. 2022. Patent classification using BERT-for-patents on USPTO. In 5th International Conference on Machine Learning and Natural Language Processing (MLNLP 2022), Sanya, China, December 23-25, 2022.
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Markus Endres, Asha Mannarapotta Venugopal and Tung Son Tran. 2022. Synthetic data generation: a comparative study. In Bipin C. Desai and Peter Z. Revesz (Ed.). IDEAS '22: Proceedings of the 26th International Database Engineered Applications SymposiumA, August 22 - 24, 2022, Budapest, Hungary. ACM, New York, NY, 94-102 DOI: 10.1145/3548785.3548793
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2021
Macedo Maia, Juliano Efson Sales, André Freitas, Siegfried Handschuh and Markus Endres. in press. A comparative study of deep neural network models on multi-label text classification in finance. In 15th IEEE International Conference on Semantic Computing (ICSC), virtual, January 27-29, 2021. IEEE
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Macedo Maia, Siegfried Handschuh and Markus Endres. 2021. A tag-based transformer community questions answering learning-to-rank model in the home improvement domain. Lecture Notes in Computer Science 12924, 127-138. DOI: 10.1007/978-3-030-86475-0_13
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Markus Endres, Lena Rudenko and Dominik Gröninger. 2021. Aggregation and summarization of thematically similar Twitter microblog messages. Lecture Notes in Computer Science 12843, 102-117. DOI: 10.1007/978-3-030-82472-3_9
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Markus Endres, Renukswamy Chikkamath, Vishvapalsinhji Ramsinh Parmar and Christoph Hewel. in press. Patent sentiment analysis to highlight patent paragraphs. arXiv:2111.09741.
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2020
Markus Endres and Ulrich Junker. 2020. Advances in preference handling went digital: impressions from M-PREF 2020, Italy. IFORS News 15, 4, 43-44.
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Renukswamy Chikkamath, Markus Endres, Lavanya Bayyapu and Christoph Hewel. 2020. An empirical study on patent novelty detection: a novel approach using machine learning and natural language processing. In 2020 Seventh International Conference on Social Networks Analysis, Management and Security (SNAMS). IEEE, Piscataway, NJ DOI: 10.1109/SNAMS52053.2020.9336557
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Lena Rudenko, Christian Haas and Markus Endres. 2020. Analyzing Twitter data with preferences. In ADBIS 2020, Lyon, France, August 25-27, 2020.
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Macedo Maia, Vivian Silvia, Markus Endres, André Freitas and Siegfried Handschuh. in press. Attentive recurrent text categorization models using word-category cross embedding on financial comments. In 35th ACM/SIGAPP Symposium On Applied Computing (SAC2020), March 30 - April 3, 2020, Brno, Czech Republic. ACM, 1147-1149
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Markus Endres, Stefan Schödel and Klaus Emathinger. in press. Lifting preferences to the semantic web: PreferenceSPARQL. In IDEAS 2020: 24th International Database Engineering & Applications Symposium, online, August 12 - 18, 2020.
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Klaus Emathinger, Stefan Schödel and Markus Endres. in press. PreferenceSPARQL for querying the semantic web. In 12th Multidisciplinary Workshop on Advances in Preference Handling (MPREF) in conjunction with ECAI 2020, August 29 - September 2 2020, Santiago de Compostela, Spain.
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2019
Markus Endres and Erich Glaser. 2019. Evaluation of index-based skyline algorithms. Reports / Technische Berichte der Fakultät für Angewandte Informatik der Universität Augsburg 2019-01. Institut für Informatik, Universität Augsburg, Augsburg.
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Markus Endres and E. Glaser. 2019. Indexing for skyline computation: a comparison study. Lecture Notes in Computer Science 11529, 31-42. DOI: 10.1007/978-3-030-27629-4_6
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Johannes Kastner, Markus Endres and Nemanja Ranitovic. 2019. The Borda social choice movie recommender. In 18. Fachtagung Datenbanksysteme für Business, Technologie und Web (BTW 2019), März 2019, Rostock, Deutschland.
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Johannes Kastner and Markus Endres. 2019. You have the choice: the Borda voting rule for clustering recommendations. In ADBIS 2019: 23rd European Conference on Advances in Databases and Information Systems, September 8-11, 2019, Bled, Slovenia.
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2018
Markus Endres and Lena Rudenko. 2018. A tour of lattice-based skyline algorithms. In Maki Habib (Ed.). Handbook of Research on Investigations in Artificial Life Research and Development. IGI Global, Hershey, PA, 96-122. DOI: 10.4018/978-1-5225-5396-0.ch006
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Markus Endres, Johannes Kastner and Lena Rudenko. 2018. Analyzing and clustering Pareto-optimal objects in data streams. In Moamar Sayed-Mouchaweh (Ed.). Learning from Data Streams in Evolving Environments: Methods and Applications. Springer International, Cham (Studies in Big Data ; 41), 63-91. DOI: 10.1007/978-3-319-89803-2_4
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Lena Rudenko and Markus Endres. 2018. Real-time skyline computation on data streams with SLS: implementation and experiences. Reports / Technische Berichte der Fakultät für Angewandte Informatik der Universität Augsburg 2018-01. .
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2017
Johannes Kastner, Markus Endres and Werner Kießling. 2017. A Pareto-dominant clustering approach for Pareto-frontiers. In Yannis Ioannidis, Julia Stoyanovich and Giorgio Orsi (Ed.). Nineteenth International Workshop on Design, Optimization, Languages and Analytical Processing of Big Data (DOLAP 2017), colocated with EDBT/ICDT 2017, Venice, Italy, March 21, 2017. CEURS-WS (CEUR Workshop Proceedings ; Vol-1810), 1-5.
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Markus Endres and Timotheus Preisinger. 2017. Beyond skylines: explicit preferences. Lecture Notes in Computer Science 10177, 327-342. DOI: 10.1007/978-3-319-55753-3_21
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Markus Endres and Felix Weichmann. 2017. Index structures for preference database queries. Lecture Notes in Computer Science 10333, 137-149. DOI: 10.1007/978-3-319-59692-1_12
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Johannes Kastner and Markus Endres. 2017. Multidimensional clustering approaches for pareto-frontiers. Reports / Technische Berichte der Fakultät für Angewandte Informatik der Universität Augsburg 2017-02. .
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Markus Endres and Stefan Wohlfart. 2017. Parallel multi-level preference computation. Reports / Technische Berichte der Fakultät für Angewandte Informatik der Universität Augsburg 2017-03. .
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Lena Rudenko and Markus Endres. 2017. Personalized stream analysis with PreferenceSQL. In Bernhard Mitschang, Norbert Ritter, Holger Schwarz, Meike Klettke, Andreas Thor, Oliver Kopp and Matthias Wieland (Ed.). Datenbanksysteme für Business, Technologie und Web (BTW 2017): Workshopband, 06.– 07.03.2017, Stuttgart, Deutschland. Gesellschaft für Informatik e.V., Bonn (Lecture Notes in Informatics ; P-266), 181-184.
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Markus Endres. 2017. Preference Miner: a database tool for mining user preferences. In Andreas Schmidt, Fritz Laux, Dimitar Hristovski and Shin-ichi Ohnishi (Ed.). The Ninth International Conference on Advances in Databases, Knowledge, and Data Applications (DBKDA 2017), Barcelona, Spain, 21-25 May 2017. IARIA, Wilmington, DE, 52-53
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Markus Endres and Andreas Pfandler. 2017. Präferenzen und Personalisierung in der Informatik. In Workshop Präferenzen und Personalisierung in der Informatik (PPI17) @ BTW 2017, Stuttgart, Deutschland, 2017.
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2016
Lena Rudenko, Markus Endres, Werner Kießling and Patrick Roocks. 2016. A preference-based stream analyzer. In Moamar Sayed-Mouchaweh, Hamid Bouchachia, João Gama and Rita Paula Ribeiro (Ed.). STREAMEVOLV 2016 - Proceedings of the Workshop on Large-scale Learning from Data Streams in Evolving Environments (STREAMEVOLV-2016), co-located with the 2016 European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD 2017), Riva del Garda, Italy, September 23, 2016. CEUR-WS
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Patrick Roocks and Markus Endres. 2016. Dominator search for skylines. Reports / Technische Berichte der Fakultät für Angewandte Informatik der Universität Augsburg 2016-05. .
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Markus Endres and Werner Kießling. 2016. Parallel skyline computation exploiting the lattice structure. Journal of Database Management 26, 4, 18-43. DOI: 10.4018/jdm.2015100102
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Markus Endres and Timotheus Preisinger. 2016. Preference structures and their lattice representations. Reports / Technische Berichte der Fakultät für Angewandte Informatik der Universität Augsburg 2016-02. .
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Markus Endres and Andreas Pfandler. 2016. Unsere Empfehlung für Sie: Präferenzen und Personalisierung in der Informatik. In Heinrich C. Mayr and Martin Pinzger (Ed.). Informatik 2016: 26.-30. September 2016 Klagenfurt, Österreich. Gesellschaft für Informatik e.V., Bonn (Lecture Notes in Informatics (LNI) ; 46) (Gesellschaft für Informatik: GI-Edition / Proceedings ; 259), 1927-1934.
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2015
Patrick Roocks, Florian Wenzel, Lena Rudenko and Markus Endres. 2015. A database approach for categorical preferences on hierarchies. In 9th Multidisciplinary Workshop on Advances in Preference Handling (MPREF) in conjunction with IJCA 2015, 27 July 2015, Buenos Aires, Argentina.
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Markus Endres and Timotheus Presinger. 2015. Behind the skyline. In Friedrich Laux, Andreas Schmidt, Maria Del Pilar Angeles, Kiyoshi Nitta and Iztok Savnik (Ed.). DBKDA 2015: The Seventh International Conference on Advances in Databases, Knowledge, and Data Applications, May 24-29, 2015, Rome, Italy. IARIA, Wilmington, DE, 141-146
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Timotheus Preisinger and Markus Endres. 2015. Looking for the best, but not too many of them: multi-level and top-k skylines. International Journal on Advances in Software 8, 3-4, 467-480.
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Stefan Mandl, Oleksandr Kozachuk, Markus Endres and Werner Kießling. 2015. Preference analytics in EXASolution. In 16. Fachtagung Datenbanksysteme für Business, Technologie und Web (BTW 2015), Hamburg, Deutschland, 2.-6. März 2015.
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Markus Endres, Patrick Roocks and Werner Kießling. 2015. Scalagon: an efficient skyline algorithm for all seasons. Lecture Notes in Computer Science 9050, 292-308. DOI: 10.1007/978-3-319-18123-3_18
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Markus Endres. 2015. The structure of preference orders. Lecture Notes in Computer Science 9282, 32-45. DOI: 10.1007/978-3-319-23135-8_3
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2014
Markus Endres. 2014. A survey on selectivity estimation for preference database queries. In Hele-Mai Haav, Ahto Kalja and Tarmo Robal (Ed.). Databases and Information Systems VIII: Selected Papers from the Eleventh International Baltic Conference, DB&IS 2014. IOS Press, Amsterdam (Frontiers in Artificial Intelligence and Applications ; 270), 159-172. DOI: 10.3233/978-1-61499-458-9-159
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Markus Endres, Patrick Roocks and Werner Kießling. 2014. Algebraic optimization of grouped preference queries. In Ana Maria Almeida, Jorge Bernardino and Elsa Ferreira Gomes (Ed.). Proceedings of the 18th International Database Engineering und Applications Symposium - IDEAS '14,Porto, Portugal, July, 2014. ACM Press, New York, NY, 247-256. DOI: 10.1145/2628194.2628256
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Markus Endres, Patrick Roocks, Manuel Huber and Werner Kießling. 2014. Grouping queries with SV-semantics in preference SQL. In 8th Multidisciplinary Workshop on Advances in Preference Handling, in conjunction with AAAI-14, Quebec City, Canada, July 2014.
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Markus Endres and Werner Kießling. 2014. High parallel skyline computation over low-cardinality domains. Lecture Notes in Computer Science 8716, 97-111. DOI: 10.1007/978-3-319-10933-6_8
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Markus Endres. 2014. Preference selectivity estimation for cost-based query optimization. In The 11th International Baltic Conference on DB and IS (DB&IS 2014), Tallin, Estonia, June 2014.
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D. Braziunas, Markus Endres, K. B. Venable, P. Weng and L. Xia (Ed.). 2014. Proceedings of the 8th Multidisciplinary Workshop on Advances in Preference Handling (M-PREF 2014): Papers from the 2014 AAAI Workshop. AAAI Press, Palo Alto, CA (Technical Report ; WS-14-10).
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2013
Markus Endres, Werner Kießling and Patrick Roocks. 2013. Specification and optimization of preference (SV-)grouping queries. Reports / Technische Berichte der Fakultät für Angewandte Informatik der Universität Augsburg 2013-01. .
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2012
Bernhard Möller, Patrick Roocks and Markus Endres. 2012. An algebraic calculus of database preferences. Lecture Notes in Computer Science 7342, 241-262. DOI: 10.1007/978-3-642-31113-0_13
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Florian Wenzel, Markus Endres, Stefan Mandl and Werner Kießling. 2012. Complex preference queries supporting spatial applications for user groups. Proceedings of the VLDB Endowment 5, 12, 1946-1949. DOI: 10.14778/2367502.2367544
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Patrick Roocks, Markus Endres, Stefan Mandl and Werner Kießling. 2012. Composition and efficient evaluation of context-aware preference queries. Lecture Notes in Computer Science 7239, 81-95. DOI: 10.1007/978-3-642-29035-0_6
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Patrick Roocks, Markus Endres, Alfons Huhn, Werner Kießling and Stefan Mandl. 2012. Design and implementation of a framework for context-aware preference queries. Journal of Computing Science and Engineering 6, 4, 243-256. DOI: 10.5626/jcse.2012.6.4.243
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Markus Endres, Patrick Roocks, Florian Wenzel, Alfons Huhn and Werner Kießling. 2012. Handling of NULL values in preference database queries. In 6th Multidisciplinary Workshop on Advances in Preference Handling, August, 2012, Montpellier, France, in conjunction with ECAI 2012.
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2011
Werner Kießling, Martin Soutschek, Alfons Huhn, Patrick Roocks, Markus Endres, Stefan Mandl, Florian Wenzel and Andreas Zelend. 2011. Context-aware preference search for outdoor activity platforms. Reports / Technische Berichte der Fakultät für Angewandte Informatik der Universität Augsburg 2011-15. .
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Markus Endres and Werner Kießling. 2011. Efficient evaluation of semi-skylines. In 5th International Workshop on Ranking in Databases in conjunction with VLDB 2011, Seattle, WA, USA, August 2011.
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Markus Endres and Werner Kießling. 2011. Semi-skyline optimization of constrained skyline queries. In Heng Tao Shen and Yanchun Zhang (Ed.). Proceedings of the 22nd Australasian Database Conference 2011, ADC 2011, Perth, Australia, January 2011. Australian Computer Society, Sydney, 7-16
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Markus Endres. 2011. Semi-skylines and skyline snippets - theory and applications. Dissertation, Universität Augsburg. Books on Demand, Norderstedt.
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Markus Endres and Werner Kießling. 2011. Skyline snippets. Lecture Notes in Computer Science 7022, 246-257. DOI: 10.1007/978-3-642-24764-4_22
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Werner Kießling, Markus Endres and Florian Wenzel. 2011. The preference SQL system - an overview. Bulletin of the Technical Committee on Data Engineering 34, 2, 11-18.
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2010
Markus Endres and Werner Kießling. 2010. Semi-skylines and skyline snippets. Reports / Technische Berichte der Fakultät für Angewandte Informatik der Universität Augsburg 2010-01. .
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2008
Sven Döring, Timotheus Preisinger and Markus Endres. 2008. Advanced preference query processing for e-commerce. In Roger L. Wainwright and Hisham M. Haddad (Ed.). Proceedings of the 2008 ACM symposium on Applied computing - SAC '08, Fortaleza, Ceara, Brazil, March, 2008. ACM Press, New York, NY, 1457-1462. DOI: 10.1145/1363686.1364027
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Markus Endres and Werner Kießling. 2008. Optimization of preference queries under hard sum constraints. In 4rd Multidisciplinary Workshop on Advances in Preference Handling, in conjunction with AAAI 2008, Chicago, Illinois, USA, July 2008.
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Markus Endres and Werner Kießling. 2008. Optimization of preference queries with multiple constraints. In Vassilis Christophides, Georgia Koutrika, Tiziana Catarci, Yannis Ioannidis and Timos Sellis (Ed.). PersDB2008 - 2nd International Workshop on Personalized Access, Profile Management, and Context Awareness: Databases; Electronic Proceedings; 23 August 2008, Auckland, New Zealand (in conjunction with the 34th VLDB Conference). PersDB, 28-35
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2006
Benjamin Satzger, Markus Endres and Werner Kießling. 2006. A preference-based recommender system. Lecture Notes in Computer Science 4082, 31-40. DOI: 10.1007/11823865_4
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Timotheus Preisinger, Werner Kießling and Markus Endres. 2006. The BNL++ algorithm for evaluating Pareto preference queries. In Multidisciplinary Workshop on Advances in Preference Handling (ECAI 2006), Riva del Garda, Italy, August 2006.
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Markus Endres and Werner Kießling. 2006. Transformation of TCP-net queries into preference database queries. In Multidisciplinary Workshop on Advances in Preference Handling (ECAI 2006), Riva del Garda, Italy, August 2006.
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2004
Werner Bley and Markus Endres. 2004. Picard groups and refined discrete logarithms. LMS Journal of Computation and Mathematics 8, 1-16. DOI: 10.1112/S1461157000000875
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Books
2016
Preferences in Database Systems - Challenges and Solutions
Markus Endres
Habilitation, University of Augsburg.
2014
Semi-Skylines and Skyline Snippets - Theory and Applications
Markus Endres
Dissertation, University of Augsburg.
1st Examiner: Professor Dr. W. Kießling,
2nd Examiner: Professor Dr. B. Möller