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
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