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Descriptor Profiling for Research Domain Analysis

  • Journal of the Korean Society for Information Management
  • Abbr : JKOSIM
  • 2007, 24(4), pp.285~303
  • DOI : 10.3743/KOSIM.2007.24.4.285
  • Publisher : 한국정보관리학회
  • Research Area : Interdisciplinary Studies > Library and Information Science
  • Received : November 30, 2007
  • Accepted : December 11, 2007
  • Published : December 30, 2007

Kim, Pan Jun 1 Lee, Jae Yun 2

1신라대학교
2경기대학교

Accredited

ABSTRACT

This study aims to explore a new technique making complementary linkage between controlled vocabularies and uncontrolled vocabularies for analyzing a research domain. Co-word analysis can be largely divided into two based on the types of vocabulary used: controlled and uncontrolled. In the case of using controlled vocabulary, data sparseness and indexer effect are inherent drawbacks. On the other case, word selection by the author's perspective and word ambiguity. To complement each other, we suggest a descriptor profiling that represents descriptors(controlled vocabulary) as the co-occurrence with words from the text(uncontrolled vocabulary). Applying the profiling to the domain of information science implies that this method can complement each other by reducing the inherent shortcoming of the controlled and uncontrolled vocabulary.

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