Title :
Situation Modeling in Decision Support Systems
Author :
Smirnov, Alexander ; Kashevnik, Alexey ; Levashova, Tatiana ; Pashkin, Michael ; Shilov, Nikolai
Author_Institution :
Saint Petersburg Inst. for Informatics & Autom., Russian Acad. of Sci., Saint Petersburg
fDate :
April 30 2007-May 3 2007
Abstract :
The paper addresses the problem of situation modeling for decision support purposes. Knowledge-based contexts of two types are used for situation modeling. Abstract context is an ontology-based problem model supplied with links to information sources that provide values for the class attributes included in the abstract context. It integrates knowledge relevant to the current situation from an application ontology (a model of a macro situation). Operational context is the abstract context instantiated with the values taken from information sources. It is a situation model along with changeable data. The proposed ideas are illustrated through a case study of disaster relief and evacuation. The concept of modeling situation as context allows decision support systems to take into account dynamic of information
Keywords :
decision support systems; ontologies (artificial intelligence); abstract context; decision support systems; information sources; knowledge-based contexts; ontology-based problem model; operational context; situation modeling; Automation; Context modeling; Decision making; Decision support systems; Filling; Hurricanes; Informatics; Object oriented modeling; Ontologies; Spread spectrum communication;
Conference_Titel :
Integration of Knowledge Intensive Multi-Agent Systems, 2007. KIMAS 2007. International Conference on
Conference_Location :
Waltham, MA
Print_ISBN :
1-4244-0944-6
Electronic_ISBN :
1-4244-0945-4
DOI :
10.1109/KIMAS.2007.369781