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New Technology of Library and Information Service  2007, Vol. 2 Issue (4): 39-42    DOI: 10.11925/infotech.1003-3513.2007.04.10
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Excavation of Web Knowledge Association Based on Bipartite Graph
Ren Hui  Zhou Xiaoguang  Shen Jin2
1(Ludong University Library,Yantai 264025,China)
2(School of Electric and Electronic Engineering,Shandong University of Technology, Zibo 255049,China)  
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Abstract  

The analysis model of bipartite graph is to combine the content information on Web page and hyper-chain information, so as to provide an algorism based on classification method. By using bipartite graph,one can work out the Website’s maximum matching and complete matching. This method can also help excavate the implicit knowledge association and locate accurately the reasonable orientation of the users.

Key wordsBipartite graph      Knowledge association      Web excavation     
Received: 28 December 2006      Published: 25 April 2007
: 

TP393

 
Corresponding Authors: Ren Hui     E-mail: renhui196311@yahoo.com.cn
About author:: Ren Hui,Zhou Xiaoguang,Shen Jin

Cite this article:

Ren Hui,Zhou Xiaoguang,Shen Jin . Excavation of Web Knowledge Association Based on Bipartite Graph. New Technology of Library and Information Service, 2007, 2(4): 39-42.

URL:

http://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/10.11925/infotech.1003-3513.2007.04.10     OR     http://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/Y2007/V2/I4/39

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