A Framework for Dynamic Analytical Risk Management at the Emergency Scene. From Tribal to Top Down in the Risk Management Maturity Model
Citation: Proceedings of the 2014 Federated Conference on Computer Science and Information Systems, M. Ganzha, L. Maciaszek, M. Paprzycki (eds). ACSIS, Vol. 2, pages 323–330 (2014)
Abstract. We present a framework designed for the risk management at the emergency scene. The system that implements the framework is focused on supporting an Incident Commander during the fire and rescue actions. The system is able to assess and manage the risks with the use of sensory data, ontology modelling and reasoning techniques from AI domain. Within the framework we propose the novel approaches for perceiving and modelling the emergency scene, for reasoning, for assessing the state and the relations among the objects at the scene, for assessing the risk mitigation and for communicating the risks to the Incident Commander.