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Résultat majeur : EKAW2014: LOGICAL DETECTION OF INVALID SAMEAS STATEMENTS IN RDF DATA
EKAW2014: LOGICAL DETECTION OF INVALID SAMEAS STATEMENTS IN RDF DATA
25 novembre 2004

Laura Papaleo, Nathalie Pernelle, Fatiha Sais, Cyril Dumont.
Research paper accepted at EKAW2014. In this work, we investigate and design a logical method to detect invalid sameAs statements, by looking at the descriptions associated to the instances in
In the last years, thanks to the standardization of Semantic Web technologies, we are experiencing an unprecedented production of data, published online as Linked Data. In this context, when a typed link is instantiated between two different resources referring to the same real world entity, the usage of owl:sameAs is generally predominant. However, recent research discussions have shown issues in the use of owl:sameAs.
Problems arise both in cases in which sameAs is automatically discovered by a data linking tool erroneously, or when users declare it but meaning something less ’strict’ than the semantics defined by OWL. In this work, we discuss further this issue and we present a method for logically detect invalid sameAs statements under specific circumstances. We report our experimental results, performed on OAEI datasets, to prove that the approach is promising.



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