Paper Info
Title
Persistent storage system for efficient management of OWL web ontology
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.
Year
DOI
Venue
2007
10.1007/978-3-540-73549-6_106
UIC
Keywords
Field
DocType
web ontology language,large owl data,owl web ontology,experiment result,current web,semantic web,ideal semantic web,persistent storage system,enhanced performance,owl ontology,efficient management,owl document,database management system,storage system
Ontology (information science),World Wide Web,Semantic Web Stack,Computer science,Data Web,Semantic Web,Web modeling,OWL-S,Social Semantic Web,Semantic Web Rule Language
Conference
Volume
ISSN
ISBN
4611
0302-9743
3-540-73548-8
Citations 
PageRank 
References 
7
0.63
7
Authors
7
Name
Order
Citations
PageRank
Dongwon Jeong113128.17
Myounghoi Choi291.41
Yang-Seung Jeon3163.34
Youn-Hee Han455260.53
Laurence T. Yang56870682.61
Young-Sik Jeong669785.20
Sung-Kook Han716320.65