Prof. Dr. Christian Bizer

Chair of Information Systems V: Web-based Systems

Universität Mannheim
B6, 26, Room B 1.15
D-68159 Mannheim

Email:  christian.bizer (at) 
Phone: +49 621 181 2677



Christian Bizer explores technical and empirical questions concerning the development of global, decentralized information environments. His current research focus is the evolution of the World Wide Web from a medium for the publication of documents into a global dataspace. Christian Bizer initialized the W3C Linking Open Data community effort which is interlinking large numbers of data sources on the Web. He co-founded the DBpedia project which derives a comprehensive knowledge base from Wikipedia. He also initialized the WebDataCommons project which monitors the adoption of, RDFa, JSON-LD, Microdata, and Microformats on the Web by analysing large Web crawls. His technical research focuses on the integration of data from large numbers of Web data sources and includes topics such as information extraction, identity resolution, schema matching, data fusion, and data search. Christian Bizer holds an appointment as full professor at the University of Mannheim, where he leads the Focus Group Web-based Systems of the Data and Web Science Group. Before moving to Mannheim, he headed the Web-based Systems Group at Freie Universität Berlin.

Research Interests

  • Large-scale data integration / data lakes
  • Identity resolution, schema matching, data fusion, data search
  • Information extraction from semi-structured sources
  • Analysis of the adoption of semantic web technologies
  • Knowledge base construction


Google Scholar gives an idea which of my papers are highly cited.  DBLP and Semantic Scholar maintain further lists of my publications.



  • Bizer, C. (2023). GPT-4 versus BERT: Which foundation model is more suitable for integrating data from the web? WEBIST 2023, 19th International Conference on Web Information Systems and Technologies, Roma, Italy.
  • Bizer, C., Heath, T. and Berners-Lee, T. (2023). Linked data – the story so far. In Linking the world’s information: Essays on Tim Berners-Lee’s Invention of the World Wide Web (S. 115–143). New York: ACM Digital Library.
  • Brinkmann, A., Primpeli, A. and Bizer, C. (2023). The Web Data Commons Schema.Org Data Set Series. In , The ACM Web Conference : Companion of the World Wide Web Conference WWW 2023 (S. 136–139). , Association for Computing Machinery: New York, NY.
  • Korini, K. and Bizer, C. (2023). Column type annotation using ChatGPT. In , Joint proceedings of workshops at the 49th International Conference on Very Large Data Bases (VLDB 2023), Vancouver, Canada, August 28 – September 1, 2023, VLDBW 2023 (S. 1–12). CEUR Workshop Proceedings, RWTH Aachen: Aachen, Germany.
  • Peeters, R. and Bizer, C. (2023). Using ChatGPT for Entity Matching. In , New Trends in Database and Information Systems : ADBIS 2023 short papers, doctoral consortium and workshops: AIDMA, DOING, K-Gals, MADEISD, PeRS, Barcelona, Spain, September 4–7, 2023, Proceedings (S. 221–230). Communications in Computer and Information Science, Springer: Cham.
  • Peeters, R., Der, R. C. and Bizer, C. (2023). WDC products: A multi-dimensional entity matching benchmark. In , Proceedings 27th International Conference on Extending Database Technology (EDBT 2024), Paestum, Italy, March 25 – March 28 (S. 22–33). OpenProceedings, Konstanz.




  • Peeters, R., Bizer, C. and Glavaš, G. (2020). Intermediate training of BERT for product matching. In , DI2KG 2020 : Proceedings of the 2nd International Workshop on Challenges and Experiences from Data Integration to Knowledge Graphs co-located with 46th International Conference on Very Large Data Bases (VLDB 2020), Tokyo, Japan, August 31, 2020 (S. 1–2). CEUR Workshop Proceedings, RWTH Aachen: Aachen, Germany.
  • Peeters, R., Primpeli, A., Wichtlhuber, B. and Bizer, C. (2020). Using annotations for training and maintaining product matchers. In , WIMS 2020: proceedings of the 10th International Conference on Web Intelligence, Mining and Semantics, Biarritz, France, June 30 – July 3, 2020 (S. 195–204). , ACM: New York, NY.
  • Petrovski, P. and Bizer, C. (2020). Learning expressive linkage rules from sparse data. Semantic Web, 11, 549–567.
  • Primpeli, A. and Bizer, C. (2020). Profiling entity matching benchmark tasks. In , CIKM '20: Proceedings of the 29th ACM International Conference on Information & Knowledge Management : (S. 3101-3108). , Association for Computing Machinery: New York, NY.
  • Primpeli, A., Bizer, C. and Keuper, M. (2020). Unsupervised bootstrapping of active learning for entity resolution. In , The Semantic Web : 17th International Conference, ESWC 2020, Heraklion, Crete, Greece, May 31-June 4, 2020, Proceedings (S. 215–231). Lecture Notes in Computer Science, Springer: Berlin [u.a.].
  • Zhang, Z., Bizer, C., Peeters, R. and Primpeli, A. (2020). MWPD2020: Semantic Web challenge on Mining the Web of HTML-embedded product data. In , MWPD 2020 : Proceedings of the Semantic Web Challenge on Mining the Web of HTML-embedded Product Data co-located with the 19th International Semantic Web Conference (ISWC 2020) Athens, Greece, November 5, 2020 (S. 2–18). CEUR Workshop Proceedings, RWTH Aachen: Aachen, Germany.




  • Lehmann, J., Auer, S., Capadisli, S., Janowicz, K., Bizer, C., Heath, T., Hogan, A. and Berners-Lee, T. (2017). LDOW2017: 10th Workshop on Linked Data on the Web. In , WWW '17 Companion Proceedings of the 26th International Conference on World Wide Web Companion (S. 1679-1680). , International World Wide Web Conferences Steering Committee: Geneva.
  • Lehmberg, O. and Bizer, C. (2017). Stitching web tables for improving matching quality. Proceedings of the VLDB Endowment, 10, 1502-1513.
  • Lehmberg, O., Brinkmann, A. and Bizer, C. (2017). WInte.r – a web data integration framework. In , ISWC-P&D-Industry 2017 : Proceedings of the ISWC 2017 Posters & Demonstrations and Industry Tracks co-located with 16th International Semantic Web Conference (ISWC 2017) Vienna, Austria, October 23rd to 25th, 2017 (S. Paper 506). CEUR Workshop Proceedings, RWTH Aachen: Aachen, Germany.
  • Oulabi, Y. and Bizer, C. (2017). Estimating missing temporal meta-information using Knowledge-Based-Trust. In , KDWEB 2017 : proceedings of the 3rd International Workshop on Knowledge Discovery on the WEB Cagliari, Italy, September 11 to 12, 2017 (S. Paper 4). CEUR Workshop Proceedings, RWTH Aachen: Aachen, Germany.
  • Petrovski, P. and Bizer, C. (2017). Extracting attribute-value pairs from product specifications on the web. In , WI '17 Proceedings of the International Conference on Web Intelligence : Leipzig, Germany, August 23–26, 2017 (S. 558–565). , ACM: New York, NY [u.a.].
  • Petrovski, P., Primpeli, A., Meusel, R. and Bizer, C. (2017). The WDC gold standards for product feature extraction and product matching. In , E-Commerce and Web Technologies : 17th International Conference, EC-Web 2016, Porto, Portugal, September 5–8, 2016, Revised Selected Papers (S. 73–86). Lecture Notes in Business Information Processing : LNBIP, Springer: Berlin [u.a.].
  • Primpeli, A. and Bizer, C. (2017). Generalizing matching knowledge using active learning. In , VLDB-PhD 2017 : Proceedings of the VLDB 2017 PhD Workshop co-located with the 43rd International Conference on Very Large Databases (VLDB 2017) Munich, Germany, August 28, 2017 (S. 29–32). CEUR Workshop Proceedings, RWTH Aachen: Aachen, Germany.
  • Primpeli, A., Meusel, R., Bizer, C. and Stuckenschmidt, H. (2017). The Web Data Commons structured data extraction. In , E-Science-Tage 2017: Forschungsdaten managen (S. 1). , Heidelberg University: Heidelberg.
  • Ritze, D. and Bizer, C. (2017). Matching web tables to DBpedia – a feature utility study. In , Proceedings of the 20th International Conference on Extending Database Technology, EDBT 2017, Venice, Italy, March 21–24, 2017 (S. 210–221). , OpenProceedings: Konstanz.






Lecture Videos

Videos and screen casts covering all of Christian Bizer's master courses are available on the DWS video lecture page.

Bachelor and Master Thesis

My group and I constantly offer master and bachelor thesis topics in relation to our research as well as the current focus of our seminar.  We are also open to students proposing their own topics as well as to master theses written in cooperation with companies. Please send us an application according to the DWS thesis guidelines if you are interested in writing a bachelor or master thesis with us.


Prof. Dr. Christian Bizer

Prof. Dr. Christian Bizer

Chair for Information Systems V: Web-based Systems
University of Mannheim
School of Business Informatics and Mathematics
B 6, 26 – Room B 1.15
68159 Mannheim
Consultation hour(s):
Wed 1:30–2:30 p.m.