图书情报工作 ›› 2022, Vol. 66 ›› Issue (10): 143-151.DOI: 10.13266/j.issn.0252-3116.2022.10.013

• 知识组织 • 上一篇    下一篇

基于事理图谱的重大突发事件动态演变研究

刘雅姝1,2, 栾宇3, 周红磊3, 张海涛3,4   

  1. 1. 吉林大学公共外交学院 长春 130012;
    2. 吉林大学国家发展与安全研究院 长春 130012;
    3. 吉林大学商学与管理学院 长春 130012;
    4. 吉林大学信息资源研究中心 长春 130012
  • 收稿日期:2021-05-12 修回日期:2022-01-10 出版日期:2022-05-20 发布日期:2022-06-01
  • 通讯作者: 栾宇,博士研究生,通信作者,E-mail:abcluanyu@live.com。
  • 作者简介:刘雅姝,讲师,博士;周红磊,博士研究生;张海涛,教授,博士生导师。
  • 基金资助:
    本文系国家社会科学基金重点项目"基于事理图谱的重大突发事件演变机制研究"(项目编号:20ATQ005)研究成果之一。

Research on the Dynamic Evolution of Major Emergencies Based on Event Knowledge Graph

Liu Yashu1,2, Luan Yu3, Zhou Honglei3, Zhang Haitao3,4   

  1. 1. School of International and Public Affairs, Jilin University, Changchun 130012;
    2. Institute of National Development and Security Studies, Jilin University, Changchun 130012;
    3. School of Business and Management, Jilin University, Changchun 130012;
    4. The Information Resource Research Center, Jilin University, Changchun 130012
  • Received:2021-05-12 Revised:2022-01-10 Online:2022-05-20 Published:2022-06-01

摘要: [目的/意义]为了更快速高效地应对重大突发事件,本文针对重大突发事件的动态演变过程展开研究,以期辅助相关部门对重大突发事件的应对和决策。[方法/过程]基于事理图谱的理论与方法,通过事理图谱构建、事件泛化等步骤得到重大突发事件抽象事理图谱,对其进一步分析总结事件演变的动因,结合系统动力学模型进行事件演变的动态仿真模拟。[结果/结论] 研究结果表明,高度泛化的知识可以揭示事件演变的原因、影响因素;重大突发事件事理图谱与系统动力学方法的结合实现了从知识视角仿真模拟事件演变的过程。

关键词: 重大突发事件, 事理图谱, 事件动因, 仿真分析

Abstract: [Purpose/Significance] In order to respond to major emergencies more quickly and efficiently, this paper conducts a study on the dynamic evolution process of major emergencies, with a view to assisting relevant departments in responding to and making decisions on major emergencies.[Method/Process] Based on the theory and method of event knowledge graph, this paper obtained the abstract event knowledge graph of major emergencies through the steps of event knowledge graph construction, event generalization, etc, and further analyzed it to summarize the motivation of event evolution, combined with the system dynamics model, the dynamic simulation model of the event evolution was carried out.[Result/Conclusion] The research results show that highly generalized knowledge can reveal the causes and influencing factors of event evolution; With the combination of major emergencies event knowledge graph and system dynamics method, the process of simulating the evolution of events is achieved from the perspective of knowledge.

Key words: major emergency, event knowledge graph, event motivation, simulation analysis

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