Information Retrieval based on Topic Map and Grid Agent Technologies

摘要：

Topic map is one of the hottest areas in information retrieval field in that it enables a user to navigate and access the documents he needs in an organized manner, rather than browsing through hyperlinks that are generally unstructured and often misleading. This paper proposes a new framework for information retrieval. Through actions of registry, discovery and access in grid information service discovery process, a grid space manager will find out the suitable services. And grid agent should remember the success and quality of the former cases by knowledge element mining and topic map building and reasoning, therefore the agent can gain experience of users preference. We also detail the methods through which we can mine knowledge elements from web page resources and to build extended topic maps including a new knowledge elements level.

作者: CHEN Jing YU Ying

作者单位: Department of Information Management, Central China Normal University,Wuhan,430079,China Department of Computer Science, Central China Normal University, Wuhan, 430079, China

会议类型: 国际会议

会议名称: 2009 IEEE International Symposium on IT in Medicine & Education( IEEE 教育与医药信息化国际会议)

会议地点: 济南

会议语种:英文

页码: 341-344

在线出版日期: 2009-08-14（万方平台首次上网日期，不代表论文的发表时间）