Title :
Context-aware operational decision support
Author :
Smirnov, A. ; Pashkin, M. ; Shilov, N. ; Levashova, T. ; Kashevnik, A.
Abstract :
The paper presents research on context-aware operational decision support for emergency management. Ontology-based context model is proposed for organization of context-aware decision support Two types of context are used: abstract context that is an ontology-based model integrating information and knowledge relevant to a decision situation, and operational context that is an instantiated abstract context within the personalization of decision support systems multi-role decision support is offered proposed ideas are illustrated through a case study of disaster relief and evacuation.
Keywords :
decision support systems; ontologies (artificial intelligence); abstract context; context-aware operational decision support; emergency management; multi-role decision support; ontology-based model; Context modeling; Decision support systems; Disaster management; Hurricanes; Information analysis; Information filtering; Information filters; Object oriented modeling; Ontologies; US Department of Transportation; Ontology-based context; constraint satisfaction problem; emergency management; operational decision support;
Conference_Titel :
Information Fusion, 2007 10th International Conference on
Conference_Location :
Quebec, Que.
Print_ISBN :
978-0-662-45804-3
Electronic_ISBN :
978-0-662-45804-3
DOI :
10.1109/ICIF.2007.4408185
