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Vol.32 No.2
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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 / Journal of the Korean Society for Information Management, (P)1013-0799; (E)2586-2073
2015, v.32 no.2, pp.87-103
https://doi.org/10.3743/KOSIM.2015.32.2.087


& (2015). Detection of Hidden Knowledge Using a Citation-Based Approach Based on Swanson's ABC Model. Journal of the Korean Society for Information Management, 32(2), 87-103, https://doi.org/10.3743/KOSIM.2015.32.2.087
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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.

keywords
text mining, entitymetrics, literature based discovery, ABC model, 텍스트마이닝, 개체계량학, 문헌기반 발견, ABC 모델

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