Defining Views with Formal Concept Analysis for Understanding SPARQL Query Results
Résumé
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.
Origine | Fichiers produits par l'(les) auteur(s) |
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