学术个体研究方向的关联分析——以中国情报学领域为例

Association Analysis of Academic Individuals' Research Directions:Taking the Information Science Field in China as an Example

本文将同一作者在其发表的所有期刊论文中列出的所有关键词作为一个新的研究主题,并被命名为作者关键词事务。阐述了基于作者关键词事务集进行关联分析的意义;给出基于作者关键词事务集进行关联分析及绘制知识图谱的主要步骤,其中包括将作者给出的关键词泛化为能够代表某个研究方向的上位词的预处理过程;以中国情报学领域为例,利用CSSCI收录的1998-2011年度的来源文献数据生成作者关键词事务集,并对该事务集进行关联分析及知识图谱绘制;从情报学学科角度对挖掘到的关联规则以及绘制的知识图谱进行解释,并对提出的方法进行总结。

All keywords listed in all journal papers written by a same author are taken as a new researchsubject, and named as author keyword transaction in this paper. The authors of this paper first describethe significance of the association analysis based on author keyword transaction set; then, give the steps tocarry out association analysis and draw knowledge maps based on author keyword transaction sets, includ-ing the pre-processing step that generalizes some author keywords to their hypernyms which could repre-sent a research direction; then, generate an author keyword transaction set based on the source article dataof information science extracted from CSSCI（1998—2011）, carry out association analysis and draw knowl-edge maps on the transaction set; at last, interprets the mined association rules and the knowledge maps inthe perspective of information science, and give a summary of the proposed method.