Research of Scenario Inference of Emergency Based on OWL and SWRL

ABSTRACT

Although the scenario analysis has been extensively sudied in the area of emergency managnemt, the heterogeneous data and the lack of semantic meaning always hamper the performance of scenario inference in many emergency response systems. Aiming at this problem, we proposed a scenario inference model and implemented this model with Web Ontology Language (OWL) and Semantic Web Rule Language (SWRL). Furthermore, an algorithm of scenario inference was designed to assist the decision-makers to find the potential hazard scenarios. In order to testify the validity of scenario inference model, we employed some inference rules drawn from the historical emergencies to deduce the east Japan earthquake. The experimental result shows that our method is effective for emergency response system.

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