Edinburgh Associative Thesaurus as RDF and DBpedia Mapping

Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9989)


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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Copyright information

© Springer International Publishing AG 2016

Authors and Affiliations

  1. 1.Computer Science DepartmentUniversity of KaiserslauternKaiserslauternGermany
  2. 2.Knowledge Management DepartmentDFKI GmbHKaiserslauternGermany

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