We are pleased to announce that the following paper from the DWS group has been accepted for the 26th International Conference on Information Integration and Web Intelligence: “ExtractGPT: Exploring the Potential of Large Language Models for Product Attribute Value Extraction” by Alexander ...

We are pleased to announce that the following paper from the DWS group has been accepted for the 28th European Conference on Advances in Databases and Information Systems as a full paper: “Using LLMs for the Extraction and Normalization of Product Attribute Values” by Alexander Brinkmann, Nick ...

We are happy to announce that three papers from the DWS group have been accepted to the 21st European Semantic Web Conference: 1. “SC-Block: Supervised Contrastive Blocking within Entity Resolution Pipelines” by Alexander Brinkmann, Roee Shraga and Christian Bizer has been accepted for the ...

We are happy to announce the 2023 release of the WebDataCommons Microdata, JSON-LD and RDFa Data Corpus as well as the release of the WebDataCommons schema.org Table Corpus.

Prof. Christian Bizer has given a keynote talk comparing the utility of GPT4 and BERT for Web Data Integration at the 19th International Conference on Web Information Systems and Technologies (WEBIST) in Rome.

We are happy to announce that the paper “Column Type Annotation using ChatGPT” by Keti Korini and Christian Bizer has won the best paper award of the Tabular Data Analysis (TaDa) workshop at VLDB 2023 in Vancouver, Canada.

The paper “WDC Products: A Multi-Dimensional Entity Matching Benchmark” by Ralph Peeters, Reng Chiz Der and Christian Bizer has been accepted at EDBT2024.

We are happy to announce the release of Web Data Commons Block (WDC-Block), a large Blocking Benchmark. WDC Block is based on product data that has been extracted in 2020 from 3,259 e-shops that marked up product offers within their HTML pages using the schema.org vocabulary. The benchmark is ...

The paper “Using ChatGPT for Entity Matching” by Ralph Peeters and Christian Bizer was accepted at ADBIS 2023.

We are happy to announce the release of the multi-dimensional WDC Products Benchmark for entity matching. WDC Products is based on product data that has been extracted in 2020 from 3259 e-shops that mark up product offers within their HTML pages using the schema.org vocabulary. It contains overall ...