Lundi 24 Juin

Heure:	16:00 - 17:00
Lieu:	Salle B107, bâtiment B, Université de Villetaneuse
Résumé:	Identity links in knowledge graphs
Description:	Nathalie Pernelle As the Web of Data continues to grow, more and more large datasets – covering a wide range of topics and domains – are being added to the Linked Open Data (LOD) Cloud. It is inevitable that different datasets, most of which are developed independently of one another, will come to describe (aspects of) the same thing, but will do so by referring to that thing by different names. Thanks to identity links, datasets that have been constructed independently of one another are still able to make use of each other’s information. Many data linking approaches have been defined that are rule-based. Some of these approaches exploit ontology axioms such as keys. However, these axioms are rarely specified in the available ontologies. In this seminar, I will present two approaches that aim to discover more or less expressive keys in RDF data. Then, since data linking approaches do not obtain a 100% precision, I will show that some approaches can focus on detecting incorrect sameAs links or detect that they are valid only in a specified semantic context.