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作 者:周贞云[1,2,3] 邱均平 Zhou Zhenyun;Qiu Junping(Chinese Academy of Science and Education Evaluation,Hangzhou Dianzi University,Hangzhou 310018,China;School of Management,Hangzhou Dianzi University,Hangzhou 310018,China;Academy of Data Science and Informatics,Hangzhou Dianzi University,Hangzhou 310018,China)
机构地区:[1]杭州电子科技大学中国科教评价研究院,浙江杭州310018 [2]杭州电子科技大学管理学院,浙江杭州310018 [3]杭州电子科技大学数据科学与信息计量研究院,浙江杭州310018
出 处:《现代情报》2022年第5期3-12,68,共11页Journal of Modern Information
基 金:国家社会科学基金重大项目“基于大数据的科教评价信息云平台构建和智能服务研究”(项目编号:19ZDA348);浙江省软科学研究计划重点项目“创新强省背景下浙江高校科技创新竞争力评价及提升研究”(项目编号:2020C25027)。
摘 要:[目的/意义]长期以来,中图分类号缺少学科分类和文献计量的应用研究。为充分发挥两大应用价值,利用中图分类号实现数据可视化,将成为中图分类号研究的一种新方法。[方法/过程]聚焦我国知识图谱研究,将CNKI文献作为数据样本,根据文献数据集、中图号集合、中图号矩阵的构建原理,利用Python工具进行数据处理。在此基础上,运用ECharts等软件编程,实现了中图分类号可视化的4种应用。[结果/结论]学科旭日图、学科河流图、学科共现图、学科耦合图,分别从静态、动态、共现、耦合视角揭示了在不同的应用层级和优化条件下中图分类号背后的学科规律及其特征。针对我国知识图谱研究,挖掘出计算机的应用(TP39)、情报资料的处理(G353)、人工智能理论(TP18)三大学科及数据特征,进而识别出文字信息处理、科学文献综述、人工神经网络与计算等七大主题及其前沿动态。[Purpose/Significance]Chinese library classification(CLC)number lacks the application research of discipline classification and literature metrology for a long time,In order to give full play to these two application values,it will be a new research paradigm to realize data visualization application by using CLC number.[Method/Process]Focusing on the research of knowledge graph(KG)in China,taking CNKI literature as the data sample,the study used Python tools to process data according to the construction principle of literature data set,CLC number set and CLC number matrix.On this basis,ECharts software was used to program and realize four kinds of applications of CLC number data visualization.[Result/Conclusion]From static,dynamic,co-occurrence and coupling perspectives,Sunburst Chart,Stream Graph,Co-occurrence Map and Sankey Diagram for the discipline respectively reveal the discipline rules and characteristics of CLC number under different application levels and optimization conditions.In view of the research of KG in China,characteristics of three major disciplines,namely computer application(TP39),information processing(G353)and artificial intelligence theory(TP18)were extracted,and seven important themes,including word information processing,scientific literature review,artificial neural network and computing were identified.
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