Integrated semantic and event-based reasoning for emergency response applications
Anna Hristoskova, Wim Boffé, Tom Tourwé, Filip De Turck · Ghent University Academic Bibliography (Ghent University) · 2012
Emergency response applications require the processing of large amounts of data in order to provide an accurate and concise view of the situation at hand.In this context, the adoption of semantic technologies is essential as it allows focusing on the definition of a formal model and intelligent data processing and reasoning.This paper presents a novel approach to emergency response applications, such as performed by the fire department, integrating a semantic reasoning engine into an event-based system supporting the use of a formal domain definition.A semantic model is used to automatically generate Java objects which are consumed by the rest of the application.Object manipulations automatically update the underlying model.Additionally inference on the model performed by the reasoning engine is dynamically synchronized with the other architectural components triggering events based on predefined conditions.Validation is executed on a fire fighting scenario where the state of a fire fighter is constantly monitored based on new device and sensor measurements such as body temperature, heart rate, location.While the reasoning engine keeps track of the fire fighter's context, the eventbased engine issues alerts to the rest of the team in case his state deteriorates.