A unifying framework for situation identification methodologies

Olga Murdoch, Paddy Nixon

Research output: A Conference proceeding or a Chapter in BookConference contributionpeer-review

1 Citation (Scopus)


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 publicationProceedings of the Sixth International Workshop on Modeling and Reasoning in Context Lisbon, Portugal, August 16th, 2010
EditorsJorg Cassens, Anders Kofod-Petersen, Marielba Silva Zacarias, Rebekah K. Wegener
Place of PublicationGermany
PublisherCEUR Workshop Proceedings
Number of pages12
Publication statusPublished - 2010
Externally publishedYes
EventModeling and Reasoning in Context (MRC-2010) - Lisbon, Lisbon, Portugal
Duration: 16 Aug 201016 Aug 2010

Publication series

NameCEUR Workshop Proceedings
PublisherRheinisch-Westfaelische Technische Hochschule Aachen
ISSN (Print)1613-0073


WorkshopModeling and Reasoning in Context (MRC-2010)
Abbreviated titleMRC 2010


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