An Intelligent Searching Model and Its Query Optimization Algorithm

摘要：

Today, search engine has become a very necessary tool on the Web. But current information search models does not support semantic query. Based on a share knowledge system called intelligent search model based on Ontology (ISMBDI) supported by theories and technologies of semantic Web and Ontology, this paper presents query optimization algorithms.This algorithm reduce the size of information agent set in recursion and use historical query record stored in cache to response current query request quickly. The experiments and analysis show that this algorithm can obtain a general optimality for existing query plan algorithm, lighten network load and decrease response time.

关键词： semantic Web ontology intelligent search,query process, optimization

作者: LUO Wei LI Taoshen HAN Ting

作者单位: School of Computer, Electronics and Information University of Guangxi Nanning, Guangxi Province 5300 Information Central Shanghai University of Finance and Economics Shanghai 200433, China

会议类型: 国际会议

会议名称: 第二届国际计算机新科技与教育学术会议(Proceedings of the Second International Conference on Computer Science & Education ICCSE2007)

会议地点: 武汉

会议语种:英文

页码: 293-298

在线出版日期: 2007-07-25（万方平台首次上网日期，不代表论文的发表时间）