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

发布时间:2025-05-10 13:47

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

中图分类号: 

G250

网址: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 https://mxgxt.com/news/view/1099181

相关内容

基于事理图谱的网络舆情演化路径分析——以医疗舆情为例
基于事理图谱的新冠肺炎疫情网络舆情演化路径分析
社交网络舆情事件主题图谱构建及舆情生态治理研究
事件舆情分析报告.pptx
关于考研事件舆情分析报告.pptx
明星网络舆情话题的演化特征分析
网民情绪分析及相应舆情风险管理研究——基于大数据热点事件
舆情分析及事件追踪系统
倒奶事件舆情分析报告.pptx
2021年全年年度网络舆情舆论热点事件分析研判报告(整合版)

随便看看