Context-awareness in mobile and ubiquitous computing requires the acquisition, representation and processing of information which goes beyond the device features, network status, and user location, to include semantically rich data, like user interests and user current activity. On the other hand, when services have to be provided on-the-fly to many mobile users, the efficiency of reasoning with these data becomes a relevant issue. Experimental evidence has lead us to consider currently impractical a tight integration of ontological reasoning with rule based reasoning at the time of request. This paper illustrates a hybrid approach where ontological reasoning is loosely coupled with the efficient rule-based reasoning of a middleware architecture for service adaptation. While rule-based reasoning is performed at the time of service request to evaluate adaptation policies and reconcile possibly conflicting context information, ontological reasoning is mostly performed asynchronously by local context providers to derive non-shallow context information. A limited form of ontological reasoning is activated at the time of request only when essential for service provisioning.

Loosely Coupling Ontological Reasoning with an Efficient Middleware for Context-Awareness / A. Agostini, C. Bettini, D. Riboni - In: Proceedings of MOBIQUITOUS 2005 : the Second Annual International Conference on Mobile and Ubiquitous Systems: Networking and Services : July 17-21, 2005, San Diego, California / [a cura di] R. Rao, C. Petrioli, K. Sivalingam. - Los Alamitos : IEEE Computer Society, 2005 Jul. - ISBN 0769523757. - pp. 175-182 (( Intervento presentato al 2. convegno Mobile and Ubiquitous Systems : Networking and Services tenutosi a San Diego, California nel 2005 [10.1109/MOBIQUITOUS.2005.34].

Loosely Coupling Ontological Reasoning with an Efficient Middleware for Context-Awareness

A. Agostini
Primo
;
C. Bettini
Secondo
;
D. Riboni
Ultimo
2005

Abstract

Context-awareness in mobile and ubiquitous computing requires the acquisition, representation and processing of information which goes beyond the device features, network status, and user location, to include semantically rich data, like user interests and user current activity. On the other hand, when services have to be provided on-the-fly to many mobile users, the efficiency of reasoning with these data becomes a relevant issue. Experimental evidence has lead us to consider currently impractical a tight integration of ontological reasoning with rule based reasoning at the time of request. This paper illustrates a hybrid approach where ontological reasoning is loosely coupled with the efficient rule-based reasoning of a middleware architecture for service adaptation. While rule-based reasoning is performed at the time of service request to evaluate adaptation policies and reconcile possibly conflicting context information, ontological reasoning is mostly performed asynchronously by local context providers to derive non-shallow context information. A limited form of ontological reasoning is activated at the time of request only when essential for service provisioning.
Settore INF/01 - Informatica
lug-2005
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2434/9152
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