Detection of Contextual Identity Links in a Knowledge Base

Abstract : Most of the Linked Data applications currently rely on the use of owl : sameAs for linking ontology instances. However, several studies have noticed multiple misuses of this identity link. These misuses, which are mainly caused by the lack of other well-defined linking alternatives, can lead to erroneous statements or inconsistencies. We propose in this paper a new contextual identity link: identiConTo that could serve as a replacement for owl : sameAs in linking identical instances in a specified context. To detect these contextual links, we have defined an algorithm named DECIDE that has been tested on scientific knowledge bases describing transformation processes.
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Communication dans un congrès
Proceedings of the 9th International Conference on Knowledge Capture, Dec 2017, Austin, United States. 2017
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Soumis le : vendredi 15 décembre 2017 - 14:38:59
Dernière modification le : vendredi 20 juillet 2018 - 11:13:03

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Joe Raad, Nathalie Pernelle, Fatiha Saïs. Detection of Contextual Identity Links in a Knowledge Base. Proceedings of the 9th International Conference on Knowledge Capture, Dec 2017, Austin, United States. 2017. 〈hal-01665062〉

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