Context-awareness in mobile and ubiquitous computing requires the acquisition, representation and processing of context information which is not limited to the device features, network status, or user location but includes semantically rich data like user preferences and user current activity. At the University of Milan, we have designed and implemented a middleware architecture for adapting mobile services accordingly to distributed context information involving all the aspects cited above. The middleware also allows users and service providers to define adaptation policies, in the form of logical rules. The framework adopts a hybrid form of ontological and rule-based reasoning and provides mechanisms to reconcile possibly conflicting context information and policies. The goal of this demonstration is to show the viability of our solution and to show its effectiveness when considering the adaptation of a real mobile service
Agostini, A., Bettini, C., Riboni, D. (2005). Demo: Ontology-based context-aware delivery of extended points of interest. In MDM’05: Proceedings of the 6th International Conference on Mobile Data Management (pp.322-323). New York : ACM [10.1145/1071246.1071302].
Demo: Ontology-based context-aware delivery of extended points of interest
AGOSTINI, ALESSANDRA;
2005
Abstract
Context-awareness in mobile and ubiquitous computing requires the acquisition, representation and processing of context information which is not limited to the device features, network status, or user location but includes semantically rich data like user preferences and user current activity. At the University of Milan, we have designed and implemented a middleware architecture for adapting mobile services accordingly to distributed context information involving all the aspects cited above. The middleware also allows users and service providers to define adaptation policies, in the form of logical rules. The framework adopts a hybrid form of ontological and rule-based reasoning and provides mechanisms to reconcile possibly conflicting context information and policies. The goal of this demonstration is to show the viability of our solution and to show its effectiveness when considering the adaptation of a real mobile service
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