Semantic Web based Information Retrieval System for the automatic integration framework 


Vol. 13,  No. 1, pp. 129-136, Feb.  2006
10.3745/KIPSTC.2006.13.1.129


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  Abstract

Information Retrieval System aims towards providing fast and accurate information to users. However, current search systems are based on plain syntactic analysis which makes it difficult for the user to find the exact required information. This paper proposes the SW-IRS (Semantic Web-based Information Retrieval System) using an Ontology Server. The proposed system is purposed to maximize efficiency and accuracy of information retrieval of unstructured and semi-structured documents by using an agent-based automatic classification technology and semantic web based information retrieval methods. For interoperability and easy integration, RDF based repository system is supported, and the newly developed ranking algorithm was applied to rank search results and provide more accurate and reliable information. Finally, a new ranking algorithm is suggested to be used to evaluate performance and verify the efficiency and accuracy of the proposed retrieval system.

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[IEEE Style]

O. K. Choi and S. Y. Han, "Semantic Web based Information Retrieval System for the automatic integration framework," The KIPS Transactions:PartC, vol. 13, no. 1, pp. 129-136, 2006. DOI: 10.3745/KIPSTC.2006.13.1.129.

[ACM Style]

Ok Kyung Choi and Sang Yong Han. 2006. Semantic Web based Information Retrieval System for the automatic integration framework. The KIPS Transactions:PartC, 13, 1, (2006), 129-136. DOI: 10.3745/KIPSTC.2006.13.1.129.

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