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| Construction and Application of Event Knowledge Graph for Major Emergency Response Management |
| Zhou Honglei1, Zhang Haitao1,2,3, Liu Weili1, Liu Yanhui1 |
1.School of Business and Management, Jilin University, Changchun 130012
2.Information Resource Research Center, Jilin University, Changchun 130012
3.Institute of National Development and Security Studies, Jilin University, Changchun 130012 |
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Abstract To explore knowledge modeling and applications in emergencies and associate emergency management knowledge with events, this study aims to help relevant departments scientifically understand the occurrence and evolution of emergencies and improve emergency management capabilities. Based on a knowledge-driven perspective of event evolution and property association, this study proposes a process and methodology for constructing an event-knowledge graph. First, the schema layer of the event-knowledge graph is designed through event knowledge modeling, associating knowledge of emergencies, disaster-bearing events, and response management events. Second, the data layer of the event-knowledge graph is constructed through steps including event knowledge extraction, fusion, and memory. Finally, the study develops an example of an event-knowledge graph for heavy rainfall-related natural disasters and proposes applicable emergency management service scenarios. An example validation of a natural storm disaster emergency was conducted. The results demonstrate that the event-knowledge graph not only describes the type and intensity of emergencies and their spatiotemporal evolution trends but also illustrates their impact on disaster-bearing carriers and their practical utility in emergency management. This provides support for a scientific response to emergencies.
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Received: 23 October 2023
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