A unifying framework for situation identification methodologies

O Murdoch, Patrick Nixon

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

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.
LanguageEnglish
Title of host publicationUnknown Host Publication
EditorsJ Cassens, A Kofold-Petersen
Pages49-60
Number of pages12
Volume618
Publication statusPublished - 2010
EventProceedings of the 6th International Workshop on Modeling and Reasoning in Context - Lisbon, Portugal
Duration: 1 Jan 2010 → …

Workshop

WorkshopProceedings of the 6th International Workshop on Modeling and Reasoning in Context
Period1/01/10 → …

Fingerprint

Ubiquitous computing

Keywords

  • n/a

Cite this

Murdoch, O., & Nixon, P. (2010). A unifying framework for situation identification methodologies. In J. Cassens, & A. Kofold-Petersen (Eds.), Unknown Host Publication (Vol. 618, pp. 49-60)
Murdoch, O ; Nixon, Patrick. / A unifying framework for situation identification methodologies. Unknown Host Publication. editor / J Cassens ; A Kofold-Petersen. Vol. 618 2010. pp. 49-60
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Murdoch, O & Nixon, P 2010, A unifying framework for situation identification methodologies. in J Cassens & A Kofold-Petersen (eds), Unknown Host Publication. vol. 618, pp. 49-60, Proceedings of the 6th International Workshop on Modeling and Reasoning in Context, 1/01/10.

A unifying framework for situation identification methodologies. / Murdoch, O; Nixon, Patrick.

Unknown Host Publication. ed. / J Cassens; A Kofold-Petersen. Vol. 618 2010. p. 49-60.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

TY - GEN

T1 - A unifying framework for situation identification methodologies

AU - Murdoch, O

AU - Nixon, Patrick

PY - 2010

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N2 - 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.

AB - 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.

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VL - 618

SP - 49

EP - 60

BT - Unknown Host Publication

A2 - Cassens, J

A2 - Kofold-Petersen, A

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Murdoch O, Nixon P. A unifying framework for situation identification methodologies. In Cassens J, Kofold-Petersen A, editors, Unknown Host Publication. Vol. 618. 2010. p. 49-60