We are happy to announce that team WBSG consisting of the PhD students Alexander Brinkmann and Ralph Peeters has won the ACM SIGMOD Programming Contest 2022. Altogether 55 teams from all over the world participated in the contest.

We are happy to announce that the papers “Impact of the Characteristics of Multi-Source Entity Matching Tasks on the Performance of Active Learning Methods” by Anna Primpeli and Christian Bizer and the paper “Supervised Knowledge Aggregation for Knowledge Graph Completion” by Patrick Betz, Christian ...

We are happy to announce that two posters about product matching using deep learning have been accepted at ACM TheWebConf 2022 (WWW2022). The conference takes place 25 – 29 April 2022. Below, you find the titles and abstracts of both posters as well as links to the arxiv pre-prints.

The DWS group is happy to announce the new release of the WebDataCommons Microdata, JSON-LD, RDFa and Microformat data corpus.

The paper “Graph-boosted Active Learning for Multi-Source Entity Resolution” by Anna Primpeli and Christian Bizer was accepted at ISWC 2021.

The paper “Dual-Objective Fine-Tuning of BERT for Entity Matching” by Ralph Peeters and Christian Bizer has been accepted for publication by the Proceedings of the VLDB Endowment (PVLDB) 2021. The paper will be presented at the VLDB 2021 conference in Copenhagen, Denmark in August.

We are happy to announce the release of the WDC Schema.org Table Corpus.

We are happy to announce the release of Version 1.4 of the Web Data Integration Framework (WInte.r).

The DWS group is happy to announce the new release of the WebDataCommons Microdata, JSON-LD, RDFa and Microformat data corpus.

The paper “Intermediate Training of BERT for Product Matching” by Ralph Peeters, Christian Bizer and Goran Glavaš has been accepted for the 2nd International Workshop on Challenges and Experiences from Data Integration to Knowledge Graphs (DI2KG) held in conjunction with VLDB 2020.