Fuzzy Quantified Queries to Fuzzy RDF Databases

Olivier Pivert (1) , Olfa Slama (1) , Virginie Thion (1)

1 SHAMAN - Symbolic and Human-centric view of dAta MANagement

In a relational database context, fuzzy quantified queries have been long recognized for their ability to express different types of imprecise and flexible information needs. In this paper, we introduce the notion of fuzzy quantified statements in a (fuzzy) RDF database context. We show how these statements can be defined and implemented in FURQL, which is a fuzzy extension of the SPARQL query language that we previously proposed. Then, we present some experimental results that show the feasibility of this approach.

Mots clés: RDF; SPARQL; Fuzzy Set Theory; Preferences

Domaines: Base de données [cs.DB]; Logique en informatique [cs.LO]; Recherche d'information [cs.IR]

Olivier Pivert, Olfa Slama, Virginie Thion. Fuzzy Quantified Queries to Fuzzy RDF Databases. IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), Jul 2017, Naples, Italy. ⟨hal-01510270⟩