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
Link To Document :
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