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  2011, Vol. 24 Issue (1): 111-116    DOI:
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Semantic Web Session Clustering and Visualization Method Based on Ontology
YANG Qian-Wen, KOU Ji-Song, CHEN Fu-Zan, LI Min-Qiang
School of Management, Tianjin University, Tianjin 300072

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Abstract  A representation method for generalized web sessions based on ontology is proposed, called semantic web session, and the corresponding semantic web session clustering and visualization method is presented. For the sessions clustering, the similarity measure on semantic common paths (SMSCP) for semantic web sessions is defined on the semantic common paths of users navigation. The validity of the similarity measure is verified through the clustering accuracy using the improved k medoids algorithm. Stratograms are employed to visualize the clustering results. Experimental results show that the proposed clustering and visualization methods are effective and understandable.
Key wordsWeb Usage Mining      Web Session Clustering      Similarity Measure      Ontology      Stratogram     
Received: 09 March 2009     
ZTFLH: TP181  
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YANG Qian-Wen
KOU Ji-Song
CHEN Fu-Zan
LI Min-Qiang
Cite this article:   
YANG Qian-Wen,KOU Ji-Song,CHEN Fu-Zan等. Semantic Web Session Clustering and Visualization Method Based on Ontology[J]. , 2011, 24(1): 111-116.
URL:  
http://manu46.magtech.com.cn/Jweb_prai/EN/      OR     http://manu46.magtech.com.cn/Jweb_prai/EN/Y2011/V24/I1/111
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