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
[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.
夏冬, 肖晓旦, 李国垒, 陈先来. 基于潜在语义分析的关键词-分类号对应关系研究[J]. 现代图书情报技术, 2014, 30(12): 92-96.
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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