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A Study on Updating the Knowledge Structure Using New Topic Detection Methods

  • Journal of the Korean Society for Information Management
  • Abbr : JKOSIM
  • 2005, 22(1), pp.191~208
  • DOI : 10.3743/KOSIM.2005.22.1.191
  • Publisher : 한국정보관리학회
  • Research Area : Interdisciplinary Studies > Library and Information Science
  • Received : February 15, 2005
  • Accepted : February 23, 2005
  • Published : March 30, 2005

Kim, Pan Jun 1 Young-Mee Chung 2

1신라대학교
2연세대학교

Accredited

ABSTRACT

This study utilizes various approaches for new topic detection in the process of assigning and updating descriptors, which is a representation method of the knowledge structure. Particularly in the case of occurring changes on the knowledge structure due to the appearance and development of new topics in specific study areas, new topic detection can be applied to solving the impossibility or limitation of the existing index terms in representing subject concepts. This study confirms that the majority of newly developing topics in information science are closely associated with each other and are simultaneously in the phase of growth and development. Also, this study shows the possibility that the use of candidate descriptor lists generated by new topic detection methods can be an effective tool in assisting indexers. In particular, the provision of candidate descriptor lists to help assignment of appropriate descriptors will contribute to the improvement of the effectiveness and accuracy of indexing.

Citation status

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