Defining Views with Formal Concept Analysis for Understanding SPARQL Query Results

Mehwish Alam (1) , Amedeo Napoli (1, 2)

1 ORPAILLEUR - Knowledge representation, reasonning
2 CNRS - Centre National de la Recherche Scientifique

SPARQL queries over semantic web data usually produce list of tuples as answers that may be hard to understand and interpret. Accordingly, this paper focuses on Lattice-Based View Access (LBVA), a framework based on FCA. This framework provides a classification of the answers of SPARQL queries based on a concept lattice, that can be navigated for retrieving or mining specific patterns in query results. In this way, the concept lattice can be considered as a materialized view of the data resulting from a SPARQL query.

Mots clés: FormalConceptAnalysis; SPARQLQueryViews; Lattice-BasedViews; SPARQL; Classification

Domaines: Recherche d'information [cs.IR]

Mehwish Alam, Amedeo Napoli. Defining Views with Formal Concept Analysis for Understanding SPARQL Query Results. Proceedings of the Eleventh International Conference on Concept Lattices and Their Applications, Oct 2014, Košice, Slovakia. ⟨hal-01089770⟩