Classification and modeling of the quality of contextual information

Mohammad Abdur Razzaque, Simon Dobson, Paddy Nixon

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Pervasive and autonomic environments make
extensive use of contextual information to guide adaptations
to changing external demands and circumstances. Context
takes many forms, and some form of categorisation of
information from different viewpoints can assist designers in
deciding how information should affect behaviour, and
inform the handling of uncertain or conflicting information.
We discuss the various approaches to context modeling, and
derive an initial methodology for including contextual
information in adaptive applications.
Original languageEnglish
JournalIEEE TCAAS Letters
Publication statusPublished - 2007

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