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科技创新路径识别研究进展:方法与工具

  • 祝娜 ,
  • 王效岳 ,
  • 白如江
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  • 山东理工大学科技信息研究所
祝娜,山东理工大学科技信息研究所硕士研究生;白如江,山东理工大学科技信息研究所讲师,馆员。

收稿日期: 2014-04-21

  修回日期: 2014-06-19

  网络出版日期: 2014-07-05

基金资助

本文系国家社会科学基金项目“学术文献'意抄’检测研究”(项目编号:12CTQ032)和山东理工大学人文社会科学发展基金研究成果之一。

Research Status and Development Trend of Science and Technology Innovation Path Recognition:Methods and Tools

  • Zhu Na ,
  • Wang Xiaoyue ,
  • Bai Rujiang
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  • Institute of Scientific & Technical Information, Shandong University of Technology, Zibo 255049

Received date: 2014-04-21

  Revised date: 2014-06-19

  Online published: 2014-07-05

摘要

为支持科技知识创新,科技创新路径识别已经成为情报学研究的热点主题。在梳理科技创新路径识别研究的数据源、研究方法以及可视化工具研究现状的基础上,重点分析基于关键词或者主题词识别和基于引文全文的语义分析识别两种主要的科技创新路径识别方法,并对Sci2、HistCite、CiteSpace以及VOSviewer 4种可视化工具进行比较分析,进而指出基于引文分析的科技创新路径识别研究面临的挑战并展望其在数据集、研究方法、研究技术以及研究结果方面的未来发展趋势,以期为科技创新路径识别研究提供支持和帮助。

本文引用格式

祝娜 , 王效岳 , 白如江 . 科技创新路径识别研究进展:方法与工具[J]. 图书情报工作, 2014 , 58(13) : 132 -139 . DOI: 10.13266/j.issn.0252-3116.2014.13.022

Abstract

In recent years, science and technology innovation path identification has become a hot topic of Informatics in order to support scientific and technological knowledge innovation. This paper first reviews data sources, research methods and visualization tools in the field of recognition of science and technology innovation path. Then the authors focus on two main technological innovation path identification methods. One is based on keywords or subject words and the other is based on semantic analysis of full-text citations. Comparative analysis of visualization tools such as Sci2, HistCite, CiteSpace and VOSviewer are conducted. At last the authors point out the challenge of science and technology innovation path recognition based on citation analysis trends on data collections, research methods and research outcomes. This paper aims to provide support and assistance to the recognition of science and technology innovation study.

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