%0 Journal Article
%T Semantic Clustering Algorithm Oriented to Web Log<br>面向Web日志的语义聚类算法*
%A PAN Jun
%A <br>潘钧
%J 计算机应用研究
%D 2007
%I 
%X Existed Web logs were lack of semantics obviously. To improved the efficiency and accuracy of Web mining, a semantic Web log model SWLM was presented, and two algorithms based on this model was given to cluster pages and users. Then, the semantic information could be mining from the Web log, and the semantic distances of log concepts could be computed. The test experiment shows that this model has better performance and clusters pages and users effectively. Those results can facilitate personalized services and user modeling.
%K Web log
%K mining
%K semantic
%K ontology<br>Web日志
%K 挖掘
%K 语义
%K 本体
%K 日志
%K 语义距离
%K 聚类算法
%K Web
%K Log
%K Oriented
%K Clustering
%K Algorithm
%K 用户聚类
%K 整体性能
%K 验证
%K 性能测试
%K 性化服务
%K 定量计算
%K 网页
%K 模型
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=A9D9BE08CDC44144BE8B5685705D3AED&aid=C793235A4E87B8F651CFFE247FC27BD5&yid=A732AF04DDA03BB3&vid=B91E8C6D6FE990DB&iid=DF92D298D3FF1E6E&sid=866F8A6B640835A7&eid=1A363081E1FF7014&journal_id=1001-3695&journal_name=计算机应用研究&referenced_num=0&reference_num=8