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Situation awareness in context-aware case-based decision support.

Nwiabu, Nuka; Allison, Ian; Holt, Patrik; Lowit, Peter; Oyeneyin, Babs


Nuka Nwiabu

Ian Allison

Patrik Holt

Peter Lowit

Babs Oyeneyin


Humans naturally reuse recalled knowledge to solve problems and this includes understanding the context i.e. the information that identifies or characterizes these problems. For problems in complex and dynamic environments, providing effective solutions by operators requires their understanding of the situation of the environment together with the context. Context-aware case-based reasoning (CBR) applications uses the context of users to provide solutions to problems. The combination of a context-aware CBR with general domain knowledge has been shown to improve similarity assessment, solving domain specific problems and problems of uncertain knowledge. Whilst these CBR approaches in context awareness address problems of incomplete data and domain specific problems, future problems that are situation-dependent cannot be anticipated due to lack of the facility to predict the state of the environment. This paper builds on prior work to present an approach that combines situation awareness, context awareness, case-based reasoning, and general domain knowledge in a decision support system. In combining these concepts the architecture of this system provides the capability to handle uncertain knowledge and predict the state of the environment in order to solve specific domain problems. The paper evaluates the concepts through a trial implementation in the flow assurance control domain to predict the formation of hydrate in sub-sea oil and gas pipelines. The results show a clear improvement in both similarity assessment and problem solving prediction.


NWIABU, N., ALLISON, I., HOLT, P., LOWIT, P. and OYENEYIN, B. 2011. Situation awareness in context-aware case-based decision support. In Proceedings of the 2011 IEEE international multi-disciplinary conference on cognitive methods in situation awareness and decision support (CogSIMA 2011), 22-24 February 2011, Miami, USA. New York: IEEE [online], article number 5753761, pages 9-16. Available from:

Conference Name 2011 IEEE international multi-disciplinary conference on cognitive methods in situation awareness and decision support (CogSIMA 2011)
Conference Location Miami, USA
Start Date Feb 22, 2011
End Date Feb 24, 2011
Acceptance Date Feb 24, 2011
Online Publication Date Feb 24, 2011
Publication Date Apr 21, 2011
Deposit Date May 15, 2012
Publicly Available Date May 15, 2012
Publisher IEEE Institute of Electrical and Electronics Engineers
Article Number 5753761
Pages 9-16
ISBN 9781612847863
Keywords Situation awareness; Context awareness; Domain modelling; Case-based reasoning; Decision support; Action research; Agile user-centred design
Public URL


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