한국지능시스템학회:학술대회논문집 (Proceedings of the Korean Institute of Intelligent Systems Conference)

한국지능시스템학회 (Korean Institute of Intelligent Systems)
권호 표지

Query Space Exploration Using Genetic Algorithm

  • Lee, Jae-Hoon (Dept. of Computer Science, Graduate School, Chosun Univ.) ;
  • Kim, Young-Cheon (Dept. of Information ＆ Communication, Seojeong College.) ;
  • Lee, Sung-Joo (Dept. of Computer Engineering, Chosun Univ.)
  • 발행 : 2003.09.01
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초록

Information retrieval must be able to search the most suitable document that user need from document set. If foretell document adaptedness by similarity degree about QL(Query Language) of document, documents that search person does not require are searched. In this paper, showed that can search the most suitable document on user's request searching document of the whole space using genetic algorithm and used knowledge-base operator to solve various model's problem.

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