TY - GEN
T1 - An efficient and scalable management of ontology
AU - Park, Myung Jae
AU - Lee, Jihyun
AU - Lee, Chun Hee
AU - Lin, Jiexi
AU - Serres, Olivier
AU - Chung, Chin Wan
PY - 2007
Y1 - 2007
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=38049049428&partnerID=8YFLogxK
U2 - 10.1007/978-3-540-71703-4_88
DO - 10.1007/978-3-540-71703-4_88
M3 - Conference contribution
AN - SCOPUS:38049049428
SN - 9783540717027
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 975
EP - 980
BT - Advances in Databases
PB - Springer Verlag
T2 - 12th International Conference on Database Systems for Advanced Applications, DASFAA 2007
Y2 - 9 April 2007 through 12 April 2007
ER -