Journal of the Korean Society for information Management (정보관리학회지)

Korean Society for Information Management (한국정보관리학회)
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Document Clustering Using Reference Titles

인용문헌 표제를 이용한 문헌 클러스터링에 관한 연구

  • Choi, Sang-Hee (Department of Library Science, Catholic University of Daegu)
  • Received : 2010.05.27
  • Accepted : 2010.06.17
  • Published : 2010.06.30
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Abstract

Titles have been regarded as having effective clustering features, but they sometimes fail to represent the topic of a document and result in poorly generated document clusters. This study aims to improve the performance of document clustering with titles by suggesting titles in the citation bibliography as a clustering feature. Titles of original literature, titles in the citation bibliography, and an aggregation of both titles were adapted to measure the performance of clustering. Each feature was combined with three hierarchical clustering methods, within group average linkage, complete linkage, and Ward's method in the clustering experiment. The best practice case of this experiment was clustering document with features from both titles by within-groups average method.

본 연구에서는 원문헌의 표제가 문헌클러스터링에서 문헌의 주제를 나타내는데 효과적인 자질로 인식되고 있지만 동의어나 유사어를 포함하여 문헌의 주제를 대표하는데 한계가 있음을 인지하고 인용문헌의 표제로 클러스터링 자질을 확대하는 방안을 제시하였다. 문헌 클러스터링의 자질로 원 문헌의 표제 용어와 인용문헌의 표제 용어, 두 종류의 표제 용어를 혼합하여 적용하여 인용문헌의 표제가 클러스터링 성능을 향상시키는 정도를 측정하였다. 각 자질별로 계층적 클러스터링 기법 3개, within group average linkage, complete linkage, Ward 기법을 결합하여 클러스터를 생성하는 성능을 비교, 분석하였는데 원문헌과 인용문헌 표제어를 혼합하여 within group average linkage 기법으로 클러스터링 한 경우가 가장 좋은 결과를 나타내었다.

Keywords

Acknowledgement

Supported by : Catholic University Daegu

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