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Expressive OWL Queries: Design, Evaluation, Visualization

Expressive OWL Queries: Design, Evaluation, Visualization

Petr Kremen, Bogdan Kostov
Copyright: © 2012 |Volume: 8 |Issue: 4 |Pages: 23
ISSN: 1552-6283|EISSN: 1552-6291|EISBN13: 9781466614888|DOI: 10.4018/jswis.2012100104
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MLA

Kremen, Petr, and Bogdan Kostov. "Expressive OWL Queries: Design, Evaluation, Visualization." IJSWIS vol.8, no.4 2012: pp.57-79. http://doi.org/10.4018/jswis.2012100104

APA

Kremen, P. & Kostov, B. (2012). Expressive OWL Queries: Design, Evaluation, Visualization. International Journal on Semantic Web and Information Systems (IJSWIS), 8(4), 57-79. http://doi.org/10.4018/jswis.2012100104

Chicago

Kremen, Petr, and Bogdan Kostov. "Expressive OWL Queries: Design, Evaluation, Visualization," International Journal on Semantic Web and Information Systems (IJSWIS) 8, no.4: 57-79. http://doi.org/10.4018/jswis.2012100104

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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.

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