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A Survey of Context Modelling and Reasoning Techniques (2008)
| Citations: | 105 - 2 self |
BibTeX
@MISC{Bettini08asurvey,
author = {Claudio Bettini and Jadwiga Indulska and Daniela Nicklas and Anand Ranganathan and Daniele Riboni and et al.},
title = { A Survey of Context Modelling and Reasoning Techniques},
year = {2008}
}
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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 situations as abstractions of 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.
Keyphrases
context information reasoning technique context-aware application context modelling pervasive computing community context task context information type adequate context information modelling failure prone physical context computational context current context modelling context information fact
