知识图谱在应急管理领域应用研究综述  

Review on application of knowledge graph in field of emergency management

作　　者：王晶晶 罗兰君 安天成 文雨 翟羽佳 WANG Jingjing;LUO Lanjun;AN Tiancheng;WEN Yu;ZHAI Yujia(Beijing Academy of Science and Technology,Beijing 100035,China;School of Management,Tianjin Normal University,Tianjin 300387,China;School of Information Management,Wuhan University,Wuhan Hubei 430072,China)

机构地区：[1]北京市科学技术研究院,北京100035 [2]天津师范大学管理学院,天津300387 [3]武汉大学信息管理学院,湖北武汉430072

出　　处：《中国安全生产科学技术》2025年第4期189-194,共6页Journal of Safety Science and Technology

基　　金：北京市科技新星计划项目(Z211100002121162);北京市科技新星交叉合作课题项目(20230484417)。

摘　　要：为应对复杂多变的突发事件并克服传统应急管理在信息融合与实时决策中的不足,通过系统性文献综述,梳理知识图谱在应急管理各阶段的研究现状与典型应用,从预防与应急准备、监测与预警、应急处置与救援、事后恢复与重建4方面探讨知识图谱在知识库构建、潜在风险识别、优化资源调度与修复流程优化等方面的应用,并指出其未来发展应用。研究结果表明:知识图谱可在多源数据融合与语义推理上显著提升应急管理的精度与响应速度,同时与人工智能技术的结合进一步赋能应急管理体系的发展。研究结果可为后续相关理论与实践提供可借鉴的方向与思路。To address the challenges of complex emergencies and overcome the limitations of traditional emergency management in information integration and real-time decision-making,a systematic literature review was conducted to summarize the research status and typical application of knowledge graph in various phases of emergency management.The application of knowledge graph was explored from four aspects:prevention and emergency preparedness,monitoring and early warning,emergency response and rescue,and post-event recovery and reconstruction,focusing on knowledge base construction,potential risk identification,resource scheduling optimization,and restoration process improvement.The future development directions were also identified.The results show that the precision and response speed of emergency management are significantly enhanced by the knowledge graph in multi-source data fusion and semantic reasoning.Furthermore,the integration with artificial intelligence technologies further empowers the development of emergency management system.The research results can provide reference directions and ideas for subsequent theories and practice in related fields.

关 键 词：知识图谱 应急管理 风险管理 系统性文献综述 智能决策支持 

分 类 号：X913.4[环境科学与工程—安全科学]