Edinburgh Associative Thesaurus as RDF and DBpedia Mapping

Jörn Hees, Rouven Bauer, Joachim Folz, Damian Borth, Andreas Dengel

In: Harald Sack , Giuseppe Rizzo , Nadine Steinmetz , Dunja Mladenic , Sören Auer , Christoph Lange (Hrsg.). The Semantic Web: ESWC 2016 Satellite Events. Extended Semantic Web Conference (ESWC-2016) May 29-June 3 Heraklion, Crete Greece Springer 2016.


Associations, which are one of the key ingredients of human intelligence and thinking, are not easily accessible to the Semantic Web community. High quality RDF datasets of this kind are missing. In this paper we generate such a dataset by transforming 788 K free-text associations of the Edinburgh Associative Thesaurus (EAT) into RDF. Furthermore, we provide a verified mapping of strong textual associations from EAT to DBpedia Entities with the help of a semi-automatic mapping approach. Both generated datasets are made publicly available and can be used as a benchmark for cross-type link prediction and pattern learning.


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Deutsches Forschungszentrum für Künstliche Intelligenz
German Research Center for Artificial Intelligence