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Yasir Javed, Tony Norris, & David Johnston. (2011). Ontology-based inference to enhance team situation awareness in emergency management. In E. Portela L. S. M.A. Santos (Ed.), 8th International Conference on Information Systems for Crisis Response and Management: From Early-Warning Systems to Preparedness and Training, ISCRAM 2011. Lisbon: Information Systems for Crisis Response and Management, ISCRAM.
Abstract: In this paper, we propose the use of an ontology-based and semantic technologies approach to improving shared situation awareness amongst teams dealing with emergency situations. We have also identified that shared and team situation awareness tends to be viewed only in terms of cooperative task completion and so we have tried to describe their important relationship with team decision making. The applicability of our approaches is demonstrated by a case study of mass evacuation in the case of a tsunami event. We show how ontology can be used to represent context-based situations and how the axioms and rules can improve team situation awareness.
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Jens Pottebaum, Anna Maria Japs, Stephan Prödel, & Rainer Koch. (2010). Design and modeling of a domain ontology for fire protection. In C. Zobel B. T. S. French (Ed.), ISCRAM 2010 – 7th International Conference on Information Systems for Crisis Response and Management: Defining Crisis Management 3.0, Proceedings. Seattle, WA: Information Systems for Crisis Response and Management, ISCRAM.
Abstract: The semantics of things represent the central problem of the heterogeneous domain of emergency response. Both the communication between human actors and the interface between information systems face this hurdle with high impact on the efficiency in mission and time critical command and control processes. The integration of applications and information sharing based on semantic technologies promise added value for a solution to this problem. Therefore a model of the domain is essential; this paper contributes a domain ontology for fire protection. The scientific discussion as well as expert interviews built the basis for a new modeling approach. The selection of ontology languages is one of the important design issues presented in this paper.
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Stephen Potter, Yannis Kalfoglou, Harith Alani, Michelle Bachler, Simon Buckingham Shum, Rodrigo Carvalho, et al. (2007). The application of advanced knowledge technologies for emergency response. In K. Nieuwenhuis P. B. B. Van de Walle (Ed.), Intelligent Human Computer Systems for Crisis Response and Management, ISCRAM 2007 Academic Proceedings Papers (pp. 361–368). Delft: Information Systems for Crisis Response and Management, ISCRAM.
Abstract: Making sense of the current state of an emergency and of the response to it is vital if appropriate decisions are to be made. This task involves the acquisition, interpretation and management of information. In this paper we present an integrated system that applies recent ideas and technologies from the fields of Artificial Intelligence and semantic web research to support sense-and decision-making at the tactical response level, and demonstrate it with reference to a hypothetical large-scale emergency scenario. We offer no end-user evaluation of this system; rather, we intend that it should serve as a visionary demonstration of the potential of these technologies for emergency response.
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