Discovering Types in RDF Datasets

Conference paper

DOI: 10.1007/978-3-319-25639-9_15

Part of the Lecture Notes in Computer Science book series (LNCS, volume 9341)
Cite this paper as:
Kellou-Menouer K., Kedad Z. (2015) Discovering Types in RDF Datasets. In: Gandon F., Guéret C., Villata S., Breslin J., Faron-Zucker C., Zimmermann A. (eds) The Semantic Web: ESWC 2015 Satellite Events. ESWC 2015. Lecture Notes in Computer Science, vol 9341. Springer, Cham

Abstract

An increasing number of linked datasets is published on the Web, expressed in RDF(S)/OWL. Interlinking, matching or querying these datasets require some knowledge about the types and properties they contain. This work presents an approach, relying on a clustering algorithm, which provides the types describing a dataset when this information is incomplete or missing.

Keywords

Type extraction Clustering Semantic web Linked data 

Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  1. 1.PRISM - University of Versailles Saint-Quentin-en-YvelinesVersaillesFrance

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