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.
A survey of context modeling and reasoning techniques / C. Bettini, O. Brdiczka, K. Henricksen, J. Indulska, D. Nicklas, A. Ranganathan, D. Riboni. - In: PERVASIVE AND MOBILE COMPUTING. - ISSN 1574-1192. - 6:2(2010 Apr), pp. 161-180.
|Titolo:||A survey of context modeling and reasoning techniques|
BETTINI, CLAUDIO (Primo)
RIBONI, DANIELE (Ultimo)
|Parole Chiave:||context modelling; context reasoning; context management; quality of context; situation modelling|
|Settore Scientifico Disciplinare:||Settore INF/01 - Informatica|
Settore ING-INF/05 - Sistemi di Elaborazione delle Informazioni
|Data di pubblicazione:||apr-2010|
|Digital Object Identifier (DOI):||http://dx.doi.org/10.1016/j.pmcj.2009.06.002|
|Appare nelle tipologie:||01 - Articolo su periodico|