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New Technology of Library and Information Service  2005, Vol. 21 Issue (7): 30-33    DOI: 10.11925/infotech.1003-3513.2005.07.08
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Algebra-Based Retrieval Model and Its Extension
Wang Zhijin    Zheng Hongjun
(The Department of Library Science, Nankai University, Tianjin 300071, China)
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Abstract  

In information retrieval, Algebra Theory is one of significant tools of Retrieval Modeling. The models on the basis of Algebra overcome the fault that partial matching can not be implemented within Boolean Model, then become more and more popular. This article analyses the Vector Space Model based on Algebra, and expands the model: expresses the index terms with minterm in order to reflect the relationship between terms, uses singular value decomposition to present the semantic structure of documents. At last, makes the compare between these models.

Key wordsInformation retrieval      Mathematics model      Vector space mode      Generalized vector space mode      Latent semantic indexing     
Received: 14 March 2005      Published: 25 July 2005
ZTFLH: 

G354.4

 
Corresponding Authors: Wang Zhijin     E-mail: Wangzhijin@nakai.edu.cn
About author:: Wang Zhijin,Zheng Hongjun

Cite this article:

Wang Zhijin,Zheng Hongjun. Algebra-Based Retrieval Model and Its Extension. New Technology of Library and Information Service, 2005, 21(7): 30-33.

URL:

http://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/10.11925/infotech.1003-3513.2005.07.08     OR     http://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/Y2005/V21/I7/30

1赖茂生.计算机情报检索.北京:北京大学出版社,1993
2康耀红.现代情报检索理论.北京:科学技术文献出版社,1990
3龙枫,颜可庆.离散数学.北京:机械工业出版社,2003
4冯项云.LSI潜在语义标引方法在情报检索中的应用.现代图书情报技术,1998(4): 19-21
5同济大学数学教研室.线性代数(第三版).北京:高等教育出版社,1999
6Jennifer Chu-Carroll & Bob Carpenter.Vector-based Natural Language Call Routing. Computational Linguistics,1999,25(3):361-388

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