Séminaire Donnees et APprentissage ArtificielRSS

The raise of graph databases/dataspaces and their relations with Linked Data and Ontologies

Intervenant(s) : André Santanchè (Unicamp)
Graph as a data model to represent, store and link data has been receiving an increasing attention. Social networks, Linked Data and ontologies share common challenges, which foster research in topics like graph databases and dataspaces. This talk will present and overview of this scenario, emphasizing the following topics: exploiting latent semantics in "social content"; link-driven integration, Linked Data, dataspaces and "pay-as-you-go" integration; topology-aware, IR-inspired metrics for declarative graph querying; from graphs to ontologies. We will present examples in Biology domain.
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benjamin.piwowarski (at) nulllip6.fr
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