国内关联数据研究现状及趋势的可视化分析

Visualization Analysis of the Progress and Trends in Linked Data Research in China

选取CNKI数据库收录的关联数据相关研究文献,利用社会网络分析法、文献计量法对关联数据领域作者共现和高频关键词共现进行可视化,在此基础上对高频作者的合著网络、中介中心性进行分析,对高频关键词词频及图谱、高频关键词共词矩阵、高频关键词聚类情况进行分析,呈现国内关联数据的研究现状及热点,并基于技术生命周期理论,尝试利用Loglet Lab软件估算国内关联数据各生命周期阶段的时间点,对该领域的发展趋势进行预测。

Selecting research literature in the field of the linked data from the CNKI database, this study adopts social network analysis and the bibliometric method to analyze and visualize the co-occurrence authors and high-frequency key words. Based on these, this paper analyzes the co-authorship network and betweeness centrality of high-frequent authors,as well as the word frequency and map, matrix and clustering of high-frequent key words,presenting the research status and high points at home. Meanwhile, the study, with the aid of Loglet Lab, also attempts to estimate the timing of each phase of the life cycle to make a prediction of the developing trend in the field of linked data study.