摘要
本文提出了一套主要针对各类中文文献数据库,集词频统计法、社会网络分析法、计算机数据挖掘和数据可视化技术为一体的学科知识图谱绘制方法。该方法实现了从研究数据获取、数据计算和数据挖掘、数据可视化分析为一体的研究流程,同时选择3个不同类型的典型案例来说明此种方法的可行性、有效性以及该方法所具有的一些特殊优越性,为开展国内学科发展状况的监测与评价拓展了新的思路、方法和空间。
The paper puts forward a method of drawing academic knowledge spectrogram for various Chinese literature databases, which combines word frequency statistics, social network analysis, computer data mining and data visualization technology into one. The method has formed an integrative research process from the acquisition of research data, data calculation and data mining to data visualization analysis. In the meantime, 3 different kinds of typical cases are selected to explain the feasibility, efficiency and special superiority of the method. The paper has developed the new thought, method and space for the supervision and evaluation of the development of disciplines in China.
出处
《情报理论与实践》
CSSCI
北大核心
2009年第10期55-59,共5页
Information Studies:Theory & Application
关键词
科学计量学
文献计量学
学科知识图谱
数据挖掘
学科监测与评价
scientific metrology
bibliometrics
academic knowledge spectrogram
data mining
subject supervision and evaluation
