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http://dx.doi.org/10.3745/KIPSTC.2006.13C.1.129

Semantic Web based Information Retrieval System for the automatic integration framework  

Choi Ok-Kyung (중앙대학교 대학원 컴퓨터공학과)
Han Sang-Yong (중앙대학교 컴퓨터공학과)
Publication Information
The KIPS Transactions:PartC / v.13C, no.1, 2006 , pp. 129-136 More about this Journal
Abstract
Information Retrieval System aims towards providing fast and accurate information to users. However, current search systems are based on plain svntactic 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.
Keywords
Semantic Web Ontology; Information Retrieval; RDF(Resource Description Framework); RQL(RDF Query Ranguage);
Citations & Related Records
Times Cited By KSCI : 4  (Citation Analysis)
연도 인용수 순위
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