A survey of context modelling and reasoning techniques

Bettini, Claudio, Brdiczka, Oliver, Henricksen, Karen, Jadwiga Indulska, Nicklas, Daniela, Ranganathanf, Anand and Riboni, Daniele (2010) A survey of context modelling and reasoning techniques. Pervasive and Mobile Computing, 6 2: 161-180. doi:10.1016/j.pmcj.2009.06.002

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Author Bettini, Claudio
Brdiczka, Oliver
Henricksen, Karen
Jadwiga Indulska
Nicklas, Daniela
Ranganathanf, Anand
Riboni, Daniele
Title A survey of context modelling and reasoning techniques
Journal name Pervasive and Mobile Computing   Check publisher's open access policy
ISSN 1574-1192
Publication date 2010-04-01
Year available 2009
Sub-type Article (original research)
DOI 10.1016/j.pmcj.2009.06.002
Open Access Status Not yet assessed
Volume 6
Issue 2
Start page 161
End page 180
Total pages 20
Place of publication Amsterdam, Netherlands
Publisher Elsevier BV
Language eng
Abstract Development of context-aware applications is inherently complex. These applications adapt to changing context information: physical context, computational context, and user context/tasks. Context information is gathered from a variety of sources that differ in the quality of information they produce and that are often failure prone. The pervasive computing community increasingly understands that developing context-aware applications should be supported by adequate context information modelling and reasoning techniques. These techniques reduce the complexity of context-aware applications and improve their maintainability and evolvability. In this paper we discuss the requirements that context modelling and reasoning techniques should meet, including the modelling of a variety of context information types and their relationships, of high-level context abstractions describing real world situations using context information facts, of histories of context information, and of uncertainty of context information. This discussion is followed by a description and comparison of current context modelling and reasoning techniques and a lesson learned from this comparison. Copyright © 2009 Elsevier B.V. All rights reserved.
Keyword Context modelling
Context reasoning
Context management
Quality of context
Situation modelling
Q-Index Code C1
Q-Index Status Confirmed Code
Institutional Status UQ
Additional Notes Available online 9 June 2009.

Document type: Journal Article
Sub-type: Article (original research)
Collections: Official 2011 Collection
School of Information Technology and Electrical Engineering Publications
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Citation counts: TR Web of Science Citation Count  Cited 410 times in Thomson Reuters Web of Science Article | Citations
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Created: Thu, 17 Mar 2011, 21:35:09 EST by Jadwiga Indulska on behalf of School of Information Technol and Elec Engineering