基于共现分析的中图分类号与关键词对应关系研究

Study on the Correspondence Relationship between Chinese Library Classification Codes and Keywords Based on Co-occurrence Analysis

【目的/意义】分类号与关键词对应关系的研究不仅能够推动计算机自动分类技术的发展,而且有助于改进共类分析和共词分析的效果。【方法/过程】以国内9种图书馆学期刊近五年发表的论文为例,构建中图分类号-关键词隶属关系网络及多重共现网络,对分类号和关键词的对应关系进行计量分析和可视化展示。【结果/结论】研究表明高频共现关系能够直接判定中图分类号与关键词之间的隶属关系,此外还证实分类号-关键词多重共现分析较之传统的单一共现分析方法更具优势。

【Purpose/significance】The research on the correspondence relationship between Chinese Library Classification（CLC） codes and keywords cannot only promote the automatic classification technology, but also improve the methods of coclassification analysis and co-word analysis.【Method/process】Taken 9 journals indexed by CSSCI in the Library Science as the sample, based on the cross co-occurrence of CLC codes and keywords of academic papers published during recent five years, single co-occurrence and multiple co-occurrence networks are constructed and visualized respectively.【Result/conclusion】The results indicate that high frequency co-occurrence can be used to directly determines the correspondence relationship between CLC codes and keywords. The results also confirm that multiple co-occurrence analysis has obviously advantage compared to single co-classification analysis.