Lattice-Based Views over 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 a huge 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 Formal Concept Analysis,to provide a view using {\tt View By} clause based on a concept lattice. This lattice can be navigated for retrieving or mining specific patterns in query results.

Mots clés: FormalConceptAnalysis; SPARQLQueryViews; Lattice-BasedViews

Domaines: Recherche d'information [cs.IR]

Mehwish Alam, Amedeo Napoli. Lattice-Based Views over SPARQL Query Results. Proceedings of the 1st Workshop on Linked Data for Knowledge Discovery co-located with European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2014), Sep 2014, Nancy, France. ⟨hal-01089774⟩