信息资源管理学报 ›› 2023, Vol. 13 ›› Issue (4): 60-71.doi: 10.13365/j.jirm.2023.04.060

• 研究论文 • 上一篇    下一篇

融合事理知识图谱与网络舆情分析的突发事件情报支持路径及实证研究——以危化品事故为例

张诗莹 李阳   

  1. 南京大学信息管理学院,南京,210023
  • 出版日期:2023-07-26 发布日期:2023-08-01
  • 作者简介:张诗莹,硕士生,研究方向为事理图谱、数据挖掘;李阳(通讯作者),副教授,硕士生导师,研究方向为应急情报、数据治理,Email:liyang@nju.edu.cn。
  • 基金资助:
    本文系国家社会科学基金一般项目“数智赋能的重大突发公共事件预测型情报服务机制研究”(22BTQ051)的成果之一。

The Path and Empirical Study of Intelligence Support for Emergencies by Fusing Eventic Graph and Network Opinion Analysis——Taking Hazardous Chemical Accidents as an Example

Zhang Shiying Li Yang   

  1. School of Information Management, Nanjing University,Nanjing, 210023
  • Online:2023-07-26 Published:2023-08-01

摘要: 针对当前突发事件情报支持存在的知识静态化、事理模糊化、空间单一化等不足,本文提出一种融合事理知识图谱与网络舆情分析的突发事件情报支持路径,旨在提高复杂情境下突发事件的总体态势感知能力和预测应对能力,支持数智赋能时代的应急情报范式创新。从事理和知识融合、业务和网络融合的集成视角构建突发事件情报支持逻辑框架,并以危化品事故为例开展实证研究,具体包括构建相关突发事件情报资源案例库,利用事理知识图谱从认知智能角度真实刻画突发事件的发展逻辑,借助主题挖掘、情感分析等网络舆情分析技术描述突发事件在网络空间造成的影响,为新发生突发事件的应急管理与决策提供情报支持。本文提出的突发事件情报支持路径能够兼顾多源空间数据特征,同时考虑事理和知识的融合,能够更加系统化地从“过去-未来”角度实现突发事件的情报预测,以危化品事故为例的实证研究和验证环节也体现出较好的知识呈现、情报推理效果。

关键词: 突发事件, 应急情报, 事理图谱, 网络舆情, 因果关系

Abstract: Existing emergency intelligence support has some deficiencies, such as static knowledge, fuzzy reasoning, and spatial homogeneity. The paper proposes a path of emergency intelligence support that integrates eventic graph and network opinion analysis, aiming to improve the situational awareness and predictive response capability of emergencies in complex situations, and support emergency intelligence paradigm innovation in the era of digital intelligence empowerment. The paper constructs a framework for emergency intelligence support from the integrated perspective of reasoning and knowledge fusion, business and network fusion, and carries out empirical research using hazardous chemical accidents as an illustration. The work includes building a database of relevant emergencies, portraying the development logic of emergencies using an eventic graph, and describing the impact of emergencies in cyberspace using online opinion analysis techniques. This provides intelligence support for emergency management and decision making for new emergencies. The intelligence support path proposed in this paper can take into account the characteristics of multi-source spatial data as well as the integration of event logic and knowledge, allowing for a more systematic "past-future" intelligence prediction of emergencies. The empirical study and validation of hazardous chemical accidents also show good knowledge presentation and intelligence reasoning.

Key words: Emergencies, Emergency intelligence, Eventic graph, Network public opinion, Causal relations

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