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A Study on Automatic Database Selection Technique Using the Maximal Concept Strength Recognition Method

  • Journal of the Korean Society for Information Management
  • Abbr : JKOSIM
  • 2010, 27(3), pp.265~281
  • DOI : 10.3743/KOSIM.2010.27.3.265
  • Publisher : 한국정보관리학회
  • Research Area : Interdisciplinary Studies > Library and Information Science
  • Received : August 15, 2010
  • Accepted : August 27, 2010
  • Published : September 30, 2010

Jeong Do-heon 1

1한국과학기술정보연구원

Accredited

ABSTRACT

The proposed method in this study is the Maximal Concept-Strength Recognition Method(MCR). In case that we don't know which database is the most suitable for automatic-classification when new database is imported, MCR method can support to select the most similar database among many databases in the legacy system. For experiments, we constructed four heterogeneous scholarly databases and measured the best performance with MCR method. In result, we retrieved the exact database expected and the precision value of MCR based automatic-classification was close to the best performance.

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