Persistent storage system for efficient management of OWL web ontology

Authors:
Dongwon Jeong;Myounghoi Choi;Yang-Seung Jeon;Youn-Hee Han;Laurence T. Yang;Young-Sik Jeong;Sung-Kook Han
Affiliations:
Department of Informatics and Statistics, Kunsan National University, Gunsan, Korea;Department of Informatics and Statistics, Kunsan National University, Gunsan, Korea;Department of Computer Engineering, Wonkwang University, Iksan, Jeollabuk-do, Korea;School of Internet-Media, Korea University of Technology and Education, Cheonan, Chungnam, Korea;Department of Computer Science, St. Francis Xavier University, Antigonish, Canada;Department of Computer Engineering, Wonkwang University, Iksan, Jeollabuk-do, Korea;Department of Computer Engineering, Wonkwang University, Iksan, Jeollabuk-do, Korea
Venue:
UIC'07 Proceedings of the 4th international conference on Ubiquitous Intelligence and Computing
Year:
2007

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Abstract

This paper proposes a new persistent storage to efficiently manage OWL Web ontologies. The Semantic Web is recognized as a next direction for progress of the current Web. To realize the Semantic Web, various technologies have been developed. Especially, OWL (Web Ontology Language) is the most important and state-of-the-art technology toward the ideal Semantic Web. However, most of research is being focused on designing and building OWL documents (OWL Ontology). One of the most important issues is how to efficiently and persistently store a very large OWL data into database management systems. In this paper, we propose a persistent storage system to achieve the purpose. This paper describes the performance evaluation result on the load time. The experiment result explicitly shows that our proposal provides more enhanced performance comparing with the existing systems.