%A Duan Jianyong, Xu Jichao, Zhang Mei %T Query Semantic Relation Mining from Web Log and Its Application %0 Journal Article %D 2012 %J Data Analysis and Knowledge Discovery %R 10.11925/infotech.1003-3513.2012.01.10 %P 58-62 %V 28 %N 1 %U {https://manu44.magtech.com.cn/Jwk_infotech_wk3/CN/abstract/article_3508.shtml} %8 2012-01-25 %X By mining semantic relation between Web log query terms, this paper puts the HowNet semantic knowledge into clustering algorithm to achieve search engine optimization.In order to understand user needs better, the method uses machine learning algorithms to analyze query log deeply,and puts query items into the depth of analysis.The paper makes the back page more reasonable and presents more accurate Web results to the users.