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Using semantic web for information retrieval based on clonal selection strategy

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成果类型:
期刊论文
作者:
Zhang, Jianming*;Tan, Xinliang;Huang, Xuehua;Wang, Yan
通讯作者:
Zhang, Jianming
作者机构:
[Zhang, Jianming] Hunan Int Econ Univ, Dept Comp Sci & Technol, Changsha 410205, Hunan, Peoples R China.
[Huang, Xuehua; Zhang, Jianming; Tan, Xinliang; Wang, Yan] Hunan City Univ, Dept Comp Sci, Yiyang 413000, Peoples R China.
通讯机构:
[Zhang, Jianming] H
Hunan Int Econ Univ, Dept Comp Sci & Technol, Changsha 410205, Hunan, Peoples R China.
语种:
英文
关键词:
semantic Web;information retrieval;cloanl selecton algorithm
期刊:
SECOND INTERNATIONAL SYMPOSIUM ON COMPUTATIONAL INTELLIGENCE AND DESIGN, VOL 1, PROCEEDINGS
年:
2009
卷:
1
页码:
513-516
基金类别:
Scientific Research Fund of Hunan Provincial Construction Department [200609]; Scientific Research Fund of Hunan Provincial Education Department [08C195]
机构署名:
本校为其他机构
院系归属:
信息与电子工程学院
摘要:
It is well known that information retrieval systems based entirely on syntactic contents have serious limitations. In order to achieve high precision and recall on IR systems, the incorporation of natural language processing techniques that provide semantic information is needed. For this reason, by determining the semantic for the constituents of documents, a clustering method is presented in this paper. The goal is to find the conjoined point which can combine the advantages of both textual part and visual part, and to use for IR systems. It can help to well extract the meaning of a term. Th...

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