ISCRAM Digital Library -- Query Results

Gary Berg-Cross. (2008). Improving situational ontologies to support adaptive crisis management knowledge architecture. In B. V. de W. F. Fiedrich (Ed.), Proceedings of ISCRAM 2008 – 5th International Conference on Information Systems for Crisis Response and Management (pp. 537–545). Washington, DC: Information Systems for Crisis Response and Management, ISCRAM. Abstract: There is considerable interest in advance technologies to support crisis and disaster management as they face the challenges of designing, building, and maintaining large-scale distributed systems able to adapt to the dynamics and complexity of crises. Candidate technologies include Service Oriented Architecture (SOA), related Semantic Web technology, agent-based architecture and cognitive architectures. Each embodies some principles of the Adaptive Architecture-including modularity, openness, standards-based development, runtime support and importantly explicitness. However, truly adaptive architectures for crisis management will require some deepening the knowledge architecture's content and not just its representation. Light and more robust ontological models of situations are discussed to show how better formalization of conceptual patterns like “participation” can be developed to support cognitive architectures. The feasibility of an ontological design pattern approach is described as an avenue for future research and development describing specific types of situations. Keywords: Disaster prevention; Information services; Information systems; Ontology; Service oriented architecture (SOA); Adaptive architecture; Agent-based architecture; Cognitive architectures; Crisis situations; Design Patterns; Large-scale distributed system; Research and development; Semantic Web technology; Architecture Track: Adaptive Information Architectures for Interagency Crisis Management http://idl.iscram.org/show.php?record=307
Fahem Kebair, & Frédéric Serin. (2008). Towards an intelligent system for risk prevention and emergency management. In B. V. de W. F. Fiedrich (Ed.), Proceedings of ISCRAM 2008 – 5th International Conference on Information Systems for Crisis Response and Management (pp. 526–535). Washington, DC: Information Systems for Crisis Response and Management, ISCRAM. Abstract: Making a decision in a changeable and dynamic environment is an arduous task owing to the lack of information, their uncertainties and the unawareness of planners about the future evolution of incidents. The use of a decision support system is an efficient solution for this issue. Such a system can help emergency planners and responders to detect possible emergencies, as well as to suggest and evaluate possible courses of action to deal with the emergency. We are interested in our work to the modelling of a monitoring preventive and emergency management system, wherein we stress the generic aspect. In this paper we propose an agent-based architecture of this system and we describe a first step of our approach which is the modeling of information and their representation using a multiagent system. Keywords: Civil defense; Decision support systems; Disasters; Information systems; Intelligent systems; Multi agent systems; Ontology; Semantics; Agent-based architecture; Dynamic environments; Emergency management; Emergency management systems; Emergency planners; Risk prevention; Semantic features; Risk management Track: Intelligent Systems for Crisis and Disaster Management http://idl.iscram.org/show.php?record=646

Abstract: There is considerable interest in advance technologies to support crisis and disaster management as they face the challenges of designing, building, and maintaining large-scale distributed systems able to adapt to the dynamics and complexity of crises. Candidate technologies include Service Oriented Architecture (SOA), related Semantic Web technology, agent-based architecture and cognitive architectures. Each embodies some principles of the Adaptive Architecture-including modularity, openness, standards-based development, runtime support and importantly explicitness. However, truly adaptive architectures for crisis management will require some deepening the knowledge architecture's content and not just its representation. Light and more robust ontological models of situations are discussed to show how better formalization of conceptual patterns like “participation” can be developed to support cognitive architectures. The feasibility of an ontological design pattern approach is described as an avenue for future research and development describing specific types of situations.

Keywords: Disaster prevention; Information services; Information systems; Ontology; Service oriented architecture (SOA); Adaptive architecture; Agent-based architecture; Cognitive architectures; Crisis situations; Design Patterns; Large-scale distributed system; Research and development; Semantic Web technology; Architecture

Track: Adaptive Information Architectures for Interagency Crisis Management

http://idl.iscram.org/show.php?record=307

Abstract: Making a decision in a changeable and dynamic environment is an arduous task owing to the lack of information, their uncertainties and the unawareness of planners about the future evolution of incidents. The use of a decision support system is an efficient solution for this issue. Such a system can help emergency planners and responders to detect possible emergencies, as well as to suggest and evaluate possible courses of action to deal with the emergency. We are interested in our work to the modelling of a monitoring preventive and emergency management system, wherein we stress the generic aspect. In this paper we propose an agent-based architecture of this system and we describe a first step of our approach which is the modeling of information and their representation using a multiagent system.