An emergency scenario reconstruction system based on ESMM event situation model

Li, Shuoming; Chen, Lei; Liu, Yu; Chen, Shihong

doi:10.1007/s11859-017-1277-7

Cited by 1 publication

(1 citation statement)

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“…Events develop into different statuses which are often triggered by newly occurred natural hazards, human or technologically caused natural hazards. The potential hazards can be classified by the American Disaster and Emergency Standard [13]. The disposal of emergencies often involves the collaboration of various departments and relates to multiple related factors.…”

Section: Ontology Cluster Emergency Scenario Evolution Deductionmentioning

confidence: 99%

A Method of Emergent Event Evolution Reasoning Based on Ontology Cluster and Bayesian Network

Chen

Liu

2019

IEEE Access

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Comprehensive real-time event information is critical to policymakers during emergency response and decision-making process. However, the development process of the emergent events has great uncertainty, and situational evolutions of emergencies are often difficult to use the fixed reasoning mode to attain. For this reason, this paper proposes a new method based on the ontology cluster for the evolution reasoning of emergency scenarios and extends the sematic web rule language to realize the scenario deduction, which can apply the Bayesian network to perform the conditional probability reasoning. A counterpart modeling and modifying of the Bayesian network optimization process is introduced. Besides, the probabilistic interpretation rules of atom components in context evolution are described with detailed query examples of emergency situation deducting and reasoning. The experimental results show that this approach is efficient in describing and capable of calculating the occurrence possibilities of the emergent events. INDEX TERMS Emergent events, event scenario deduction, ontology cluster, Bayesian network, SWRL.

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Section: Ontology Cluster Emergency Scenario Evolution Deductionmentioning

confidence: 99%