Building topic hierarchy based on fuzzy relations

Han Joon Kim, Sang Goo Lee

Research output: Contribution to journalArticlepeer-review

5 Scopus citations


In this paper, we present a novel method for automatically building hierarchical topic structures of large text databases without any complicated linguistic analysis. Hierarchical relationship among categories from textual data can be discovered on the basis of term co-occurrence, which is described by fuzzy relations. Despite its simplicity, results of experiments on well-known document collections such as Yahoo directory data demonstrate the high quality of the resulting hierarchies.

Original languageEnglish
Pages (from-to)481-486
Number of pages6
StatePublished - Apr 2003


  • Fuzzy relations
  • Information organization
  • Term subsumption
  • Topic hierarchy


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