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Context-based knowledge fusion patterns in decision support system for emergency response
Alexander Smirnov
author
Tatiana Levashova
author
Nikolay Shilov
author
2013
Karlsruher Institut fur Technologie
KIT; Baden-Baden
English
The purpose of this paper is discovery of context-based knowledge fusion patterns. Knowledge fusion is considered as an appearance of new knowledge in consequence of processes ongoing in decision support systems. The knowledge fusion processes are considered within a system intended to support decisions on planning emergency response actions. The knowledge fusion patterns are generalized with regard to preservation of internal structures and autonomies of information and knowledge sources involved in the knowledge fusion and to knowledge fusion results. The found patterns give a general idea of knowledge fusion processes taking place at the operational stage of decision support system functioning, i.e. the stage where context-aware functions of the system come into operation. As a practical application, such patterns can support engineers with making choice of knowledge sources to be used in the systems they design.
Artificial intelligence
Decision support systems
Information systems
Context-Aware
Context-based
Decision supports
Emergency response
Internal structure
Knowledge fusion
Knowledge sources
Operational stages
Emergency services
exported from refbase (http://idl.iscram.org/show.php?record=960), last updated on Sun, 09 Aug 2015 05:11:55 +0200
text
http://idl.iscram.org/files/smirnov/2013/960_Smirnov_etal2013.pdf
AlexanderSmirnov_etal2013
ISCRAM 2013 Conference Proceedings – 10th International Conference on Information Systems for Crisis Response and Management
ISCRAM 2013
T. Comes
F
Fiedrich
editor
10th International ISCRAM Conference on Information Systems for Crisis Response and Management
2013
Karlsruher Institut fur Technologie
KIT; Baden-Baden
conference publication
597
606
9783923704804
2411-3387
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