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| Research on the Situational Awareness of a Major Emergency under Incomplete Information |
| Zhang Haitao1,2,3, Zhou Honglei1, Li Jiawei1, Zhang Xinrui1 |
1.School of Management, Jilin University, Changchun 130022
2.Research Center of Information Resources of Jilin University, Changchun 130022
3.Institute of National Development and Security Studies, Jilin University, Changchun 130022 |
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Abstract Major emergencies pose a great threat to national security and social stability, and incomplete information pertaining to emergencies hinders incident management and control. In this scenario, situational awareness is of great significance for strengthening national security barriers and effectively responding to various risks and challenges. This study first analyzes the three incomplete information states of major emergencies and builds a situational awareness model based on the two-way drive of data and knowledge, aiming to improve situational awareness from the perspective of event evolution. Among them, knowledge-driven refers to the situational awareness model that uses the event logic graph as a methodology to support major emergencies and provides support for subsequent reasoning and prediction by mining the logical relationship and evolution path between events. Data-driven refers to constructing a dynamic mechanism for the evolution of major emergencies based on the logic of event evolution, and judging such evolution and its derived risks to assist in implementing decision-making for major emergencies. Finally, this article considers a drought event as an example to conduct an empirical study to verify the feasibility of its logical ideas and models.
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Received: 23 June 2021
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