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Expressive OWL Queries: Design, Evaluation, Visualization

Author

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  • Petr Kremen

    (Department of Cybernetics, Czech Technical University in Prague, Prague, Czech Republic)

  • Bogdan Kostov

    (Department of Cybernetics, Czech Technical University in Prague, Prague, Czech Republic)

Abstract

Web Ontology Language ontologies become more and more popular in complex domain modeling for their high expressiveness, flexibility and well defined semantics. Although query languages adequate in expressiveness to OWL reasoning capabilities were introduced before, their implementations are rather limited. In this paper, the authors study SPARQL-DLNOT, an extension of one of these query languages, SPARQL-DL, and present novel evaluation and optimization techniques for efficient SPARQL-DLNOT execution. As queries become complex easily, they also present a novel graph-based visualization that simplifies query construction and maintenance. Presented techniques and algorithms were implemented in the Pellet reasoner and in their novel Protégé plug-in OWL2Query.

Suggested Citation

  • Petr Kremen & Bogdan Kostov, 2012. "Expressive OWL Queries: Design, Evaluation, Visualization," International Journal on Semantic Web and Information Systems (IJSWIS), IGI Global, vol. 8(4), pages 57-79, October.
    • Handle: RePEc:igg:jswis0:v:8:y:2012:i:4:p:57-79
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