主办：陕西省汽车工程学会
ISSN 1671-7988  CN 61-1394/TH
创刊：1976年
汽车实用技术

汽车实用技术 ›› 2022, Vol. 48 ›› Issue (3): 159-163.DOI: 10.16638/j.cnki.1671-7988.2023.03.030

• 使用维修 • 上一篇    

基于 CiteSpace 的国内外汽保产业知识图谱分析

刘 冬 1，赵经济 2，仲婧宇 2，侯永杰 2，王 妮 2   

  1. 1.大连理工大学 机械工程学院； 2.中意泰达（营口）汽车保修设备有限公司
  • 出版日期:2023-02-15 发布日期:2023-02-15
  • 通讯作者: 刘 冬
  • 作者简介:刘冬（1985—），男，博士，副教授，研究方向为智能机器人与智能系统，E-mail:liud@dlut.edu.cn。
  • 基金资助:
    营口市软科学研究计划项目（20211JH2/0100002）。

Knowledge Graph Analysis of Domestic and Foreign Auto Insurance Industry Based on CiteSpace

LIU Dong1 , ZHAO Jingji2 , ZHONG Jingyu 2 , HOU Yongjie2 , WANG Ni2   

  1. 1.School of Mechanical Engineering, Dalian University of Technology; 2.SINO-ITALIAN TAIDA (Yingkou) Automobile Guarantee Equipment Company Limited
  • Online:2023-02-15 Published:2023-02-15
  • Contact: LIU Dong

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摘要： 文章对近 20 年国内外汽保产业文献和专利进行知识图谱分析，以探索汽保产业在国内 外的发展进程、研究热点和前言趋势，为汽保产业发展提供指导意见。利用 CiteSpace 软件对 中国知网、Web of Science 数据库和 Derwent 专利数据库进行检索和筛选，完成关键词共现分 析、关键词聚类时间线分析和关键突现词分析，分别生成知识图谱进行可视化分析。通过知 识图谱分析直观展示了国内外在汽保产业领域的研究技术热点，国内相关产业应进一步提高 汽保设备的数字化水平，推进自主创新。

关键词: CiteSpace 软件；汽保产业；知识图谱；可视化分析

Abstract: This paper analyzes the knowledge graph of domestic and foreign auto insurance industry literature and patents in the past 20 years, in order to explore the development process, research hotspots and foreword trends of auto insurance industry at home and abroad, and to provide guidance for the auto insurance industry. CiteSpace software was used to search and filter the Chinese web site, Web of Science database and Derwent patent database, to complete the keyword co-occurrence analysis, keyword clustering time line analysis and key emergent word analysis, and to generate the knowledge map for visualization and analysis respectively. The knowledge mapping analysis shows the hot spots of research technology in the field of auto body industry at home and abroad, and the domestic should further improve the digital level of auto body equipment and promote independent innovation.

Key words: CiteSpace software; Auto insurance industry; Knowledge graph; Visualization analysis