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A unifying framework for situation identification methodologies


Murdoch, O and Nixon, P, A unifying framework for situation identification methodologies, Proceedings of the 6th International Workshop on Modeling and Reasoning in Context, 16-20 August, 2010, Lisbon, Portugal, pp. 49-60. ISSN 1613-0073 (2010) [Refereed Conference Paper]

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Copyright 2010 The Authors

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Situation identification methodologies in pervasive computing aim to abstract low level context data into more meaningful high level contexts for use by context-aware application developers and users. Many situation identification techniques have been developed and successfully applied to limited scenarios. It is not possible to apply a single technique to a wide range of diverse applications. An ideal solution would allow the combination and and interchanging of techniques as appropriate. We propose a unifying framework for existing situation identification methodologies that will automatically select the best techniques for an application.

Item Details

Item Type:Refereed Conference Paper
Research Division:Information and Computing Sciences
Research Group:Human-centred computing
Research Field:Pervasive computing
Objective Division:Information and Communication Services
Objective Group:Information systems, technologies and services
Objective Field:Information systems, technologies and services not elsewhere classified
UTAS Author:Nixon, P (Professor Paddy Nixon)
ID Code:97691
Year Published:2010
Deposited By:Research Division
Deposited On:2015-01-08
Last Modified:2015-02-11

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