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
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