情报学学科交叉态势可视化研究  

Research on the Visualization of Interdisciplinary Subject in Information Science

作　　者：郭婷[1,2] 许海云[1] 岳增慧[3] 方曙[1] 

机构地区：[1]中国科学院成都文献情报中心,四川成都610041 [2]中国科学院大学,北京100190 [3]济宁医学院医学信息工程学院,山东日照276826

出　　处：《情报理论与实践》2015年第9期94-99,共6页Information Studies:Theory & Application

基　　金：国家社会科学基金项目"学科交叉主题识别和预测方法研究"(项目编号:14CTQ033);中国科学院西部之光项目"基于内容分析的领域核心专利挖掘及专利权人竞合态势分析方法研究"的成果

摘　　要：科学研究中学科交叉日益广泛且许多重大突破涌现于交叉领域,以知识图谱为代表的可视化技术是探索学科交叉态势的良好手段。文章以情报学作为案例分析对象,利用复杂网络分析方法来探索情报学领域的主题特征,结合学科叠加图和双重叠加图探索与情报学关系密切的学科间相互影响和交叉发展态势。通过综合运用多种可视化技术,形成一套探索学科交叉态势的可行性方法。通过案例分析,得到了当前情报学在学科交叉发展中的动态变化特征及面临的问题,并据此提出了情报学未来发展的建议。Interdisciplinary scientific research is increasingly used and many major scientific breakthroughs emerge in the inter- disciplinary areas. Knowledge map as the representative of the visualization technique is a good method to explore development sta- res of the interdisciplinary subject. This paper selects information science as the case study object, uses complex network analysis method to explore the theme feature in the field of information science, and combines the subject superposed graph and double su- perposed graph to explore the influencing and development status of interdisciplinary subject. By using the various visualization tech- nologies, the paper forms a feasible method to explore the development status of interdisciplinary subject. Based on the case study, the paper finds out the dynamic changing characteristics and problems of the development of interdisciplinary subject in the existing information science, and proposes suggestions for the future development of information science.

关 键 词：情报学 学科交叉 引文分析 可视化 

分 类 号：G350[文化科学—情报学]