【摘要】 提出一种基于本体的网络会话表示方法,即语义会话,和一种会话聚类和可视化方法.会话聚类方面基于用户浏览网站的公共路径提出一种语义会话间的相似性度量——语义公共路径相似性度量(SMSCP),并且使用改进的kmedoids聚类算法衡量其有效性.在聚类结果可视化方面应用层云表来展示聚类结果.实验表明文中的聚类方法和可视化方法具有更好的有效性及可理解性.更多还原

【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.更多还原