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Web Information Retrieval based on Natural Language Query Analysis and Keyword Expansion

  • Journal of the Korean Society for Information Management
  • Abbr : JKOSIM
  • 2004, 21(2), pp.235~248
  • DOI : 10.3743/KOSIM.2004.21.2.235
  • Publisher : 한국정보관리학회
  • Research Area : Interdisciplinary Studies > Library and Information Science
  • Received : May 27, 2004
  • Accepted : June 14, 2004
  • Published : June 30, 2004

Sunghee Yoon 1

1상명대학교

Accredited

ABSTRACT

For the users of information retrieval systems, natural language query is the more ideal interface, compared with keyword and boolean expressions. This paper proposes a retrieval technique with expanded keyword from syntactically-analyzed structures of natural language query as user input. Through the steps combining or splitting the compound nouns based on syntactic tree traversal of the query, and expanding the other-formed or shorten-formed into multiple keyword, it can enhance the precision and correctness of the retrieval system.

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