Assessing the Quality of RDF Mappings with EvaMap

Benjamin Moreau (1, 2) , Patricia Serrano-Alvarado (2)

1 LS2N - équipe GDD - Gestion de Données Distribuées
2 LS2N - Laboratoire des Sciences du Numérique de Nantes

Linked Data (LD) is a set of best practices to publish reusable data on the web in RDF format. Despite the benefits of LD, many datasets are not published as RDF. Transforming structured datasets into RDF datasets is possible thanks to RDF Mappings. But, for the same dataset, different mappings can be proposed. We believe that a tool capable of evaluating the quality of an RDF mapping would make the creation of mappings easier. In this paper, we present EvaMap, a framework to assess the quality of RDF mappings. The demonstration shows how EvaMap can be used to evaluate and improve RDF mappings.

Mots clés: Linked Data; Quality; RDF Mapping

Domaines: Base de données [cs.DB]; Algorithme et structure de données [cs.DS]; Autre [cs.OH]; Web

Benjamin Moreau, Patricia Serrano-Alvarado. Assessing the Quality of RDF Mappings with EvaMap. 17th Extended Semantic Web Conference (ESWC2020), Jun 2020, Heraklion, Greece. ⟨hal-02612705v2⟩