基于语义的Web用户会话识别算法  

Web Usage Session Analysis Based on Semantics

作　　者：张辉[1] 宋瀚涛[1] 徐晓梅[1] 

机构地区：[1]北京理工大学计算机科学技术学院,北京100081

出　　处：《北京理工大学学报》2007年第6期471-472,500,共3页Transactions of Beijing Institute of Technology

基　　金：国家数字图书馆标准规范建设项目(2002DEA20018);霍英东教育基金资助项目(91101)

摘　　要：研究一种基于语义进行Web用户会话识别的算法.通过建立的语义化预处理模型对使用日志进行扩展,利用基于本体语义度量的Markov链模型识别用户请求所应归属的会话,提出用竞争激励算法判别会话的结束状态.实验结果表明,基于语义的用户会话识别算法的平均识别率为69.8%,高于时间阈值、向前参考等算法.A semantic-based session analysis method is presented. Semantic Web usage log preparation model enhances usage logs with semantics. Markov chain model based on ontology semantic measurement is used to identify which active session a request should belong to. A compe.titive method is applied to determine the end of sessions. Results of practical application showed that the average percentage of successfully analyzed sessions by the semantic-based session analysis method is 69.8 %, higher than other algorithms, such as the timeout and referrer-based method.

关 键 词：用户会话识别 语义度量 竞争激励算法 

分 类 号：TP311[自动化与计算机技术—计算机软件与理论]