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) uni-mannheim.de 
Phone: +49 621 181 2677

Research

Overview

Christian Bizer investigates methods for integrating data from large numbers of data sources in the context of the open Web and in corporate data lakes. His research interests include entity matching, schema matching, table annotation, information extraction, and data discovery. The current focus of his work is leveraging large language models and LLM-based agents for data integration tasks. Christian Bizer co-founded the DBpedia project which derives a comprehensive knowledge graph from Wikipedia. He also initialized the WebDataCommons project which monitors the adoption of schema.org, JSON-LD, Microdata, and Microformats on the Web by analyzing large Web crawls. Christian Bizer is a full professor at the University of Mannheim, where he leads the focus group Web-based Systems within the Data and Web Science Group.

Publications 

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

2025

2024

2023

  • 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, OpenProceedings.org: Konstanz.

2022

2021

2020

  • 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 schema.org 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.

2019


Teaching

Courses

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.

Kontakt

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.