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
IRISA-D7 - GESTION DES DONNÉES ET DE LA CONNAISSANCE
Abstract : 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.
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Communication dans un congrès
IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), Jul 2017, Naples, Italy
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https://hal.inria.fr/hal-01510270
Contributeur : Virginie Thion <>
Soumis le : mercredi 19 avril 2017 - 12:19:23
Dernière modification le : jeudi 15 juin 2017 - 09:09:19

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Distributed under a Creative Commons Paternité - Pas d'utilisation commerciale 4.0 International License

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  • HAL Id : hal-01510270, version 1

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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>

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