SemTab: Semantic Web Challenge on Tabular Data to Knowledge Graph Matching

This challenge aims at benchmarking systems dealing with the tabular data to KG matching problem, so as to facilitate their comparison on the same basis and the reproducibility of the results.

Editions


SemTab papers


Dataset papers


Acknowledgements

The challenge has been supported by the AIDA project, the SIRIUS Centre for Research-driven Innovation, and IBM Research. We would like to thank the challenge participants, the ISWC & OM organisers, and the AIcrowd team for their contribution to the success of SemTab. We would also like to acknowledge that the work of the challenge organisers was greatly simplified by using the EasyChair conference management system and the CEUR open-access publication service.