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.
    Original languageEnglish
    Title of host publicationUnknown Host Publication
    EditorsJ Cassens, A Kofold-Petersen
    PublisherCEUR Workshop Proceedings
    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 → …

    Keywords

    • n/a

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  • 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). CEUR Workshop Proceedings. http://ecite.utas.edu.au/97691