An Efficient and Scalable Management of Ontology

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.

• Type: Conference
• Year: 2007
• Where: DASFAA
• Authors: Myung-Jae Park, Jihyun Lee, Chun-Hee Lee, Jiexi Lin, Olivier Serres, Chin-Wan Chung
• Keywords: DASFAA 2007, Data Management System, Database, OWL Data, OWL Data Management