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| Construction of Scenario Graph for a Major Emergency |
| Zhang Haitao1,2,3, Liu Weili1, Luan Yu1, Liu Yan1 |
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 The event-centered construction of a major-emergency scenario graph can not only describe the state of the scenario elements but also reflect the development trend of major emergencies; therefore, we propose a method for constructing such a graph. First, we analyze the factors that affect the occurrence, development, and mutation of events; next, we explore, in-depth, the internal connections between them to build a scenario model to describe the state of these factors and connections between them. Second, under the guidance of the scenario model, we construct the upper-level scenario ontology and propose a method of using deep learning to construct a lower-level scenario ontology. Finally, we propose the process of constructing the scenario graph, construct the drought scene ontology through event extraction and event relationship extraction, and instantiate the scene ontology to establish a scene graph of the catastrophic drought in Jilin Province in 2007. The empirical results show that the scenario graph constructed in this study can not only describe the current development state of a major emergency but also explain the internal motivation of the event’s development and evolution and predict its future development trend.
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Received: 23 June 2021
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