会议专题

Research on the Personalized Retrieval Model for Knowledge Management System Based on Multi-agent

There are several challenges in supporting usersretrieval activities in knowledge management systems.For example, users can not receive immediate notification when the new knowledge is adding into knowledge management system. To solve these problems we proposed a personalized retrieval model for knowledge management system.On the basis of sufficiently analyzing the necessity and feasibility for using the multi-agent technology to develop the personalized retrieval model for knowledge management system,this paper proposes a three-layer structure of personalized retrieval model for knowledge management system based on multi-agent which includes client layer,personalized logic layer and data service layer with user feature base,method base and knowledge base. The prototype application is implemented using Eclipse technology,and agents are deployed on the FIPA-OS,we used J2EE to develop the knowledge based on agents reasoning.

Multi-agent Knowledge management System Personalized Retrieval Model Three-layer Structure

Ziyu Liu Lei Huang Dongyun Xu

School of Econornics and Management,Beijing Jiaotong University Beijing 100044,China Institute of In School of Econornics and Management,Beijing Jiaotong University Beijing 100044,China

国际会议

2008年国际电子商务、工程及科学领域的分布式计算和应用学术研讨会(2008 International Symposium on Distributed Computing and Applications for Business Engineering and Science)

大连

英文

831-836

2008-07-27(万方平台首次上网日期,不代表论文的发表时间)