• Title/Summary/Keyword: RQL(RDF Query Ranguage)

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Semantic Web based Information Retrieval System for the automatic integration framework (자동화된 통합 프레임워크를 위한 시맨틱 웹 기반의 정보 검색 시스템)

  • Choi Ok-Kyung;Han Sang-Yong
    • The KIPS Transactions:PartC
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    • v.13C no.1 s.104
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    • pp.129-136
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    • 2006
  • 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.