On Evaluating the Quality of RDF Identity Links in the LOD

Laura Papaleo (1, 2) , Nathalie Pernelle (1, 2) , Fatiha Saïs (1, 2)

1 LRI - Laboratoire de Recherche en Informatique
2 LaHDAK - LRI - Données et Connaissances Massives et Hétérogènes (LRI)

The notion of Linked Data is based on the idea that resources from different data sources can be connected by typed links to enable new knowledge that isolated data sources cannot provide on their own. Today, as the Web of Data is proving its importance, and as an huge amount of data is published on the web in form of RDF triples, the quantity of sameAs links is extremely growing as different data sources often describe equivalent resources. Since most of the sameAs links are discovered automatically and the quality of the data sources can be poor, it is becoming crucial to develop methods for evaluating the quality of these RDF identity links, thus providing a ranking measure of their reliability. In this context, this paper defines a initial methodology for analyzing and evaluating a set of given RDF identity links in the Web of Data, ranking their reliability.

Mots clés: Linked Data; Linking Verification; Link Quality

Domaines: Informatique [cs]; Base de données [cs.DB]; Web

Laura Papaleo, Nathalie Pernelle, Fatiha Saïs. On Evaluating the Quality of RDF Identity Links in the LOD. In the proceedings of IC'2014 Workshop "From Open Sources to Web of Data" (SoWeDo 2014), May 2014, Clermont Ferrand, France. ⟨hal-01276602⟩