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A Comparative Study on Clustering Methods for Grouping Related Tags

  • Journal of the Korean Society for Library and Information Science
  • 2009, 43(3), pp.399-416
  • DOI : 10.4275/KSLIS.2009.43.3.399
  • Publisher : 한국문헌정보학회
  • Research Area : Interdisciplinary Studies > Library and Information Science
  • Received : August 24, 2009
  • Accepted : September 7, 2009

Han, Seung Hee 1

1서울여자대학교

Accredited

ABSTRACT

In this study, clustering methods with related tags were discussed for improving search and exploration in the tag space. The experiments were performed on 10 Delicious tags and the strongly-related tags extracted by each 300 documents, and hierarchical and non-hierarchical clustering methods were carried out based on the tag co-occurrences. To evaluate the experimental results, cluster relevance was measured. Results showed that Ward's method with cosine coefficient, which shows good performance to term clustering, was best performed with consistent clustering tendency. Furthermore, it was analyzed that cluster membership among related tags is based on users' tagging purposes or interest and can disambiguate word sense. Therefore, tag clusters would be helpful for improving search and exploration in the tag space.

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