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New Technology of Library and Information Service  2014, Vol. 30 Issue (12): 92-96    DOI: 10.11925/infotech.1003-3513.2014.12.12
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Research on Correspondence Between Keyword and Chinese Library Classification Based on Latent Semantic Analysis
Xia Dong1, Xiao Xiaodan1, Li Guolei1, Chen Xianlai1,2
1. Xiangya School of Medicine, Central South University, Changsha 410013 China;
2. Key Laboratory of Medical Information Research, Central South University, Changsha 410013, China
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[Objective] This paper attempts to explore the relationship between keyword and Chinese Library Classification for building a foundation for the comparison system. [Context] To help the authors unfamiliar with CLC make indexing and to assist users to complete more precise retrieval through combining keywords with related CLC. [Methods] Through decompositing constructed Keywords-CLC matrix with SVD (Singular Value Decom­position), A three-dimensional semantic coordinates between keywords and CLC is obtained. Then, according to vector representation of a query and the CLC coordinates, the correspondence is calculated and sorted in descending order. [Results] Comparing with single, three or more keywords, the correspondence accuracy between two keywords and CLC achieved better results. Among 100 phrases containing two keywords, 91 phrases are able to determine at least one associated CLC, the accuracy rate reaches 91%. [Conclusions] The correspondence effect between the phrases of two key words and single CLC is positive and lays a good foundation for the construction of the comparison system.

Key wordsLatent semantic analysis      Keyword      Chinese Library Classification      Correspondence relation     
Received: 03 July 2014      Published: 20 January 2015
:  G254  

Cite this article:

Xia Dong, Xiao Xiaodan, Li Guolei, Chen Xianlai. Research on Correspondence Between Keyword and Chinese Library Classification Based on Latent Semantic Analysis. New Technology of Library and Information Service, 2014, 30(12): 92-96.

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