The development of ubiquitous services tailored to the needs and expectations of a very large number of potential users (especially mobile users) requires that future applications and systems be aware of the service fruition contexts and possibly of accurate user proles. The AMBIT research project aims at providing a general model of con- text as well as a platform that can be exploited to build and deploy dif- ferent kinds of context-dependent applications and systems. We aim at overcoming the restrictions of the existing approaches, which are mainly due to the limited notion of context they propose (if any). In partic- ular, we stress the fact that current technologies does not accurately consider the notion of context semantics and user prole, which is the main source of the ooding of useless data that overload systems and often users' minds.
AMBIT: Towards an Architecture for the Development of Context-dependent Applications and Systems / Cabri, Giacomo; Leoncini, Mauro; Martoglia, Riccardo. - STAMPA. - (2014), pp. 64-68. (Intervento presentato al convegno 3rd International Conference on Context-Aware Systems and Applications, ICCASA 2014 tenutosi a Dubai, United Arab Emirates nel October 15–16, 2014) [10.4108/icst.iccasa.2014.257229].
AMBIT: Towards an Architecture for the Development of Context-dependent Applications and Systems
CABRI, Giacomo;LEONCINI, Mauro;MARTOGLIA, Riccardo
2014
Abstract
The development of ubiquitous services tailored to the needs and expectations of a very large number of potential users (especially mobile users) requires that future applications and systems be aware of the service fruition contexts and possibly of accurate user proles. The AMBIT research project aims at providing a general model of con- text as well as a platform that can be exploited to build and deploy dif- ferent kinds of context-dependent applications and systems. We aim at overcoming the restrictions of the existing approaches, which are mainly due to the limited notion of context they propose (if any). In partic- ular, we stress the fact that current technologies does not accurately consider the notion of context semantics and user prole, which is the main source of the ooding of useless data that overload systems and often users' minds.Pubblicazioni consigliate
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