Context-aware operational decision support

Author

Smirnov, A. ; Pashkin, M. ; Shilov, N. ; Levashova, T. ; Kashevnik, A.

fYear

2007

fDate

9-12 July 2007

Firstpage

1

Lastpage

8

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/ICIF.2007.4408185

Filename

4408185