Focus Group: Web-based Systems

(Prof. Bizer)

The Web-based Systems group conducts research on methods for integrating data from large numbers of data sources in the context of the open Web and in corporate data lakes. Our research includes areas such as entity matching, schema matching, table annotation, information extraction, and data discovery. Our current work focuses on utilizing large language models and LLM-based agents for data integration tasks. We apply the developed methods to integrate product data from large numbers of e-shops and to construct knowledge graphs such as DBpedia. The empirical research of the group includes monitoring the adoption of schema.org annotations on the public Web by regularly extracting structured data from large Web corpora.

News

Paper on LLM-based Schema Integration accepted at EDBT 2027

We are happy to announce that the paper “SINT-Flow: Schema Integration using Large Language Model Workflows” by Keti Korini and Christian Bizer was accepted as full research paper at the 30th International Conference on Extending Database Technology (EDBT2027) taking place in April 2027 in Lille, ...

Billiger.de Products: Bilingual Entity Matching Benchmark released

We are happy to announce the release of Billiger.de Products, a bilingual benchmark for evaluating entity matching systems on German, English, and cross-language product data. Entity matching is the task of determining whether two records refer to the same real-world entity, for example, whether two ...

Mannheim Data Integration Benchmark (MaDI-Bench) released

We are happy to announce the release of the Mannheim Data Integration Benchmark (MaDI-Bench). Data integration combines heterogeneous data from multiple sources into a single, coherent dataset. Data integration involves a sequence of interdependent tasks including schema matching, value ...

Paper on WebMall Benchmark for Web Agents accepted at SIGIR 2026

We are happy to announce that the paper “WebMall – A Multi-Shop Benchmark for Evaluating Web Agents” by Ralph Peeters, Aaron Steiner, Luca Schwarz, Julian Caspary and Christian Bizer been accepted for publication at the 49th International ACM SIGIR Conference on Research and Development in ...

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People

Current Team:

Prof. Dr. Christian Bizer
Dr. Ralph Peeters: Entity Matching using Deep Learning
Aaron Steiner: Data Integration using LLM Agents
Keti Korini: Table Annotation using Deep Learning
Stephanie Keil: Administration

Alumni:

Dr. Alexander Brinkmann (2025)
Dr. Anna Primpeli (2022)
Dr. Pedro Ortiz Suarez (2022)
Dr. Yaser Oulabi (2020)
Dr. Oliver Lehmberg (2019)
Benedikt Kleppmann (2018)
Dr. Dominique Ritze (2017)
Petar Petrovski (2017)
Dr. Anna Lisa Gentile (2017)
Dr. Robert Meusel (2016)
Prof. Dr. Kai Eckert (2015)
Dr. Volha Bryl (2015)
Max Schlachtenberg (2014)
Dr. Robert Isele (2013)

Data and Software

Awards

Best Paper Award at iiWAS 2024
Best Paper Award at VLDB Tabular Data Analysis Workshop
SemTab Challenge at International Semantic Web Conference 2022 – Winner of the Dataset Track
SIGMOD Programming Contest 2022
SWSA Ten-Year Award at International Semantic Web Conference 2019
SWSA Ten-Year Award at International Semantic Web Conference 2017
Best Demo Award at Extended Semantic Web Conference 2016
7 Years Best Paper Award at Extended Semantic Web Conference 2016
Yahoo Faculty Research and Engagement Program (FREP) Award 2015
Semantic Web Challenge 2014 – Winner of the Open Track
Semantic Web Challenge 2014 – Winner of the Big Data Track
Semantic Web Journal – Outstanding Paper Award 2014

Teaching

Publications

Currently there are no publications available for this list.