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Information Retrieval based on Topic Map and Grid Agent Technologies

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成果类型:
期刊论文、会议论文
作者:
Chen Jing*;Yu Ying
通讯作者:
Chen Jing
作者机构:
[Chen Jing] Cent China Normal Univ, Dept Informat Management, Wuhan 430079, Peoples R China.
[Yu Ying] Cent China Normal Univ, Dept Comp Sci, Wuhan 430079, Peoples R China.
通讯机构:
[Chen Jing] C
Cent China Normal Univ, Dept Informat Management, Wuhan 430079, Peoples R China.
语种:
英文
期刊:
2009 IEEE INTERNATIONAL SYMPOSIUM ON IT IN MEDICINE & EDUCATION, VOLS 1 AND 2, PROCEEDINGS
年:
2009
页码:
341-344
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)
会议论文集名称:
2009 IEEE International Symposium on IT in Medicine & Education( IEEE 教育与医药信息化国际会议)论文集
会议时间:
2009-08-14
会议地点:
济南
会议赞助商:
山东师范大学
机构署名:
本校为第一且通讯机构
院系归属:
计算机学院
信息管理学院
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 buildi...

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