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Detection of Hidden Knowledge Using a Citation-Based Approach Based on Swanson's ABC Model

  • Journal of the Korean Society for Information Management
  • Abbr : JKOSIM
  • 2015, 32(2), pp.87~103
  • DOI : 10.3743/KOSIM.2015.32.2.087
  • Publisher : 한국정보관리학회
  • Research Area : Interdisciplinary Studies > Library and Information Science
  • Received : May 27, 2015
  • Accepted : June 11, 2015
  • Published : June 30, 2015

Jung Eun Hahm 1 Min Song 2

1연세대학교 문헌정보학과
2연세대학교

Accredited

ABSTRACT

It is useful to find something valuable for researching through literature based discovery. Swanson’s ABC model, known as literature based discovery, suggests the relationship between entities undiscovered yet. This study tries to find the valid relationship between entities by referring to citation which connects articles on similar topic. We collect citation from references in articles, and extract important concepts in titles and abstracts through text mining techniques. We reproduce the relationship between fish oil and Raynaud’s disease, which is known as one of Swanson’s works, and compare the results with entities identified from traditional approach.

Citation status

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