Proceedings of the Korea Inteligent Information System Society Conference (한국지능정보시스템학회:학술대회논문집)

Korea Intelligent Information System Society (한국지능정보시스템학회)
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RDF 지식 베이스의 자원 중요도 계산 알고리즘에 대한 연구

  • 노상규 (서울대학교 경영대학 경영전문대학원) ;
  • 박현정 (서울대학교 경영대학) ;
  • 박진수 (서울대학교 경영대학 경영전문대학원)
  • Published : 2007.05.18
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Abstract

The information space of semantic web comprised of various resources, properties, and relationships is more complex than that of WWW comprised of just documents and hyperlinks. Therefore, ranking methods in the semantic web should be modified to reflect the complexity of the information space. In this paper we propose a method of ranking query results from RDF(Resource Description Framework) knowledge bases. The ranking criterion is the importance of a resource computed based on the link structure of the RDF graph. Our method is expected to solve a few problems in the prior research including the Tightly-Knit Community Effect. We illustrate our methods using examples and discuss directions for future research.

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