信息分类与编目研究的量化可视分析

Quantitative and Visual Analysis on Information Classification and Cataloging Study

信息资源的数量多、变化快等特征,使得信息资源分类与编目难度较大,为了更好的对信息资源进行分类、存储,提高信息资源利用率,利用HistCiteTM软件对Web of Science数据库中以信息资源分类与编目为主题获得的文献进行了量化分析,对研究文献的年产量、研究的活跃地区和机构、期刊分布以及高影响力文献等进行了分析,并据此绘制了该研究主题的引文编年图,对其研究内容、研究现状和演进路径等进行了分析。

The rapid change and high volume of information resource to a larger extent increase the difficulty of its classification and cataloging. To make a good use of information resources with better classified and stored resources, the paper used HistCiteTM software to analyze the data got from Web of Science with information resources classification and cataloging as the subject term. The paper studied the yearly output, active research countries and institutions, as well as the distribution of high-impact journals and other literature of the retrieved documents, plotted the research topic citations chronological chart, and analyzed the contents, status and evolution paths of the related research.