Semantic Clustering Algorithm Oriented to Web Log
面向Web日志的语义聚类算法*

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.