DocumentCode :
3227823
Title :
Constructing and analyzing folksonomy in online social bookmarking
Author :
Han, Zhongming ; Mo, Qian ; Liu, Yanjun ; Zuo, Min
Author_Institution :
Sch. of Comput. Sci. & Inf. Eng., Beijing Technol. & Bus. Univ., Beijing, China
fYear :
2010
fDate :
23-26 Sept. 2010
Firstpage :
1080
Lastpage :
1084
Abstract :
Research of constructing folksonomy in online social bookmarking system has attracted much attention recently. In this paper, we analyzed problems of constructing methods based on tag co-occurrence and proposed an entropy-based method to measure relationship of tag. Furthermore, a adjust threshold algorithm is proposed. Finally, comprehensive experiments are conducted and the result show our method can effectively construct folksonomy.
Keywords :
Internet; Web sites; classification; entropy; adjust threshold algorithm; entropy-based method; folksonomy; online social bookmarking system; tag co-occurrence; Libraries; Random access memory; Bookmarking; Entropy; folksonomy;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Bio-Inspired Computing: Theories and Applications (BIC-TA), 2010 IEEE Fifth International Conference on
Conference_Location :
Changsha
Print_ISBN :
978-1-4244-6437-1
Type :
conf
DOI :
10.1109/BICTA.2010.5645104
Filename :
5645104
Link To Document :
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