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中文摘要：
由于现有的Web日志缺少明显语义，提出一种语义Web日志模型——SWLM，并给出基于该模型的网页和用户聚类算法。通过日志概念的语义距离定量计算来聚类网页和用户，奠定了Web个性化服务的基础。性能测试实验证明，该模型具有较好的整体性能，能有效地进行网页和用户聚类。
英文摘要：
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.
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