Title :
Query Performance Evaluation of OWL Storage Model
Author :
Kim, Jinhyung ; Seo, Dongmin ; Jung, Hanmin ; Kim, Pyung ; Lee, Seungwoo ; Sung, Won-Kyung
Author_Institution :
Korea Inst. of Sci. & Technol. Inf., Daejeon, South Korea
Abstract :
With rapid growth of Internet, the amount of information in the Web is increasing exponentially. However, information on the current Web is understandable only for human, and thus it makes the exact information retrieval difficult. For solving this problem, the Semantic Web is suggested and we must use ontology languages that can endow data to semantics for implementing it. Typical characteristic of ontology languages is hierarchical information among classes or properties. Therefore, effective management of hierarchical information is one of the most important features regarding storing and querying information. In this paper, we perform performance experiment of OWL management model named OM-HI model.
Keywords :
knowledge representation languages; ontologies (artificial intelligence); query processing; semantic Web; Internet; OM-HI model; OWL management model; OWL storage model; Web information; hierarchical information management; information retrieval; information storing; ontology language; query performance evaluation; semantic Web; semantics; Data mining; OWL; Ontologies; Query processing; Resource description framework; XML; Hierarhical Information; OWL Path Information; Ontology Storage; Query Processing; Semantic Web;
Conference_Titel :
Internet of Things (iThings/CPSCom), 2011 International Conference on and 4th International Conference on Cyber, Physical and Social Computing
Conference_Location :
Dalian
Print_ISBN :
978-1-4577-1976-9
DOI :
10.1109/iThings/CPSCom.2011.42