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

Attached Files (Some files may be inaccessible until you login with your UQ eSpace credentials)
Name Description MIMEType Size Downloads

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
1873-1589
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
 
Versions
Version Filter Type
Citation counts: TR Web of Science Citation Count  Cited 410 times in Thomson Reuters Web of Science Article | Citations
Scopus Citation Count Cited 656 times in Scopus Article | Citations
Google Scholar Search Google Scholar
Created: Thu, 17 Mar 2011, 21:35:09 EST by Jadwiga Indulska on behalf of School of Information Technol and Elec Engineering