• DocumentCode
    2627342
  • Title

    HFCT: A Hybrid Fuzzy Clustering Method for Collaborative Tagging

  • Author

    Han, Lixin ; Chen, Guihai

  • Author_Institution
    Hohai Univ., Nanjing
  • fYear
    2007
  • fDate
    21-23 Nov. 2007
  • Firstpage
    1389
  • Lastpage
    1394
  • Abstract
    In recent years, there has been considerable interest in collaborative tagging. This paper proposes a hybrid fuzzy clustering method for collaborative tagging. Key feature of the method includes using a combination of the fuzzy c-means and the subtractive clustering to handle collaborative tagging problems. The method allows a resource to belong to more than one laggings with different membership grade. The HFCT method need not know in advance the number of laggings, in order to avoid the difficulty of initial guesses of the number of taggings.
  • Keywords
    Internet; fuzzy set theory; groupware; pattern clustering; Web resource annotation; collaborative tagging problem; hybrid fuzzy clustering method; Clustering algorithms; Clustering methods; Collaborative software; Computer science; Fuzzy sets; Information technology; International collaboration; Ontologies; Organizing; Tagging;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Convergence Information Technology, 2007. International Conference on
  • Conference_Location
    Gyeongju
  • Print_ISBN
    0-7695-3038-9
  • Type

    conf

  • DOI
    10.1109/ICCIT.2007.155
  • Filename
    4420450