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基于潜在语义分析的关键词–分类号对应关系研究

Research on Correspondence Between Keyword and Chinese Library Classification Based on Latent Semantic Analysis

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【作者】 夏冬肖晓旦李国垒陈先来

【Author】 Xia Dong;Xiao Xiaodan;Li Guolei;Chen Xianlai;Xiangya School of Medicine, Central South University;Key Laboratory of Medical Information Research, Central South University;

【机构】 中南大学湘雅医学院医学信息研究湖南省普通高等学校重点实验室(中南大学)

【摘要】 【目的】通过探索关键词–分类号的对应关系,为对照系统的建立打下基础。【应用背景】辅助不熟悉分类号的论文作者进行论文标引,同时协助用户结合关键词和分类号完成更精确的检索。【方法】对构建的关键词–分类号矩阵进行奇异值分解,得到关键词、分类号的三维语义坐标,再根据查询提问式的向量表示与分类号坐标进行相关度计算并降序排序。【结果】相比单个、三个及三个以上关键词,两个关键词与分类号的对应关系有较好效果。在100对包含两个关键词的词组中,有91对能够确定至少一个相关的分类号,准确率达到91%。【结论】两个关键词与分类号的对应关系结果较为理想,为构建对照系统打下良好基础。

【Abstract】 [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.

【基金】 国家社会科学基金项目“面向临床决策的电子病历潜在语义分析及应用研究”(项目编号:13BTQ052);中南大学中央高校基本科研业务费专项资金项目“电子病历中临床术语的潜在语义分析及其应用研究”(项目编号:2013zzts265)的研究成果之一
  • 【文献出处】 现代图书情报技术 ,New Technology of Library and Information Service , 编辑部邮箱 ,2014年12期
  • 【分类号】G254.1
  • 【被引频次】6
  • 【下载频次】250
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