An efficient and scalable management of ontology

Authors:
Myung-Jae Park;Jihyun Lee;Chun-Hee Lee;Jiexi Lin;Olivier Serres;Chin-Wan Chung
Affiliations:
Korea Advanced Institute of Science and Technology, Korea;Korea Advanced Institute of Science and Technology, Korea;Korea Advanced Institute of Science and Technology, Korea;Korea Advanced Institute of Science and Technology, Korea;University of Technology of Belfort-Montbéliard, France;Korea Advanced Institute of Science and Technology, Korea
Venue:
DASFAA'07 Proceedings of the 12th international conference on Database systems for advanced applications
Year:
2007

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Abstract

OWL is a recommended language for publishing and sharing ontologies on the Semantic Web. To manage the ontologies, several OWL data management systems have been proposed. However, the existing systems have limitations of the scalability and the reasoning. In this paper, we propose an OWL data management system, ONTOMS, which stores OWL data into class based relations, performs complete inverseOf, symmetric, and transitive reasoning for instances, and efficiently evaluates OWL-QL queries against ontologies in a relational database.