Ralph Peeters

Researcher

B6, 26, Room C 1.04

Tel.: +49 621 181  2648

ralph.peeters (at) uni-mannheim.de

I am a Ph.D. candidate in the focus group Web-based Systems in the Data and Web Science Group under supervision of Prof. Dr. Christian Bizer

Research Interests

  • Entity Matching using Deep Learning
  • Product Data Integration

Teaching

Publications

  • Peeters, R. und Bizer, C. (2021). Dual-objective fine-tuning of BERT for entity matching. In , 47th International Conference on Very Large Data Bases (VLDB 2021) : Copenhagen, Denmark, August 16-20, 2021 (S. 1913-1921). Proceedings of the VLDB Endowment, Association of Computing Machinery: New York, NY.
  • Peeters, R., Bizer, C. und 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. und 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.
  • Zhang, Z., Bizer, C., Peeters, R. und 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.
  • Primpeli, A., Peeters, R. und Bizer, C. (2019). The WDC training dataset and gold standard for large-scale product matching. In , Companion Proceedings of The 2019 World Wide Web Conference (S. 381-386). , ACM: New York, NY, USA.