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. © Springer-Verlag Berlin Heidelberg 2007.
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CITATION STYLE
Park, M. J., Lee, J., Lee, C. H., Lin, J., Serres, O., & Chung, C. W. (2007). An efficient and scalable management of ontology. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4443 LNCS, pp. 975–980). Springer Verlag. https://doi.org/10.1007/978-3-540-71703-4_88
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