Mobile context-aware computing aims at providing services that are optimally adapted to the situation in which a given human actor is. An open problem is that not all mobile services need contextual information at the same level of abstraction, or care for all aspects of the user's situation. It is therefore impossible to create a unique context model that is useful and valid for all possible mobile services. In this paper we present a compromise: a three-tiered context modeling architecture that offers high-level mobile services a certain freedom in choosing what contextual parameters they are interested in, and on what abstraction level. We believe the proposal offers context modeling power to a wide range of high-level mobile services, thus eliminating the need for each service to maintain complete context models (which would result in severe modeling redundancy if many services run in parallell). Each mobile service must only maintain those parts of the context model that are application-dependent and specific to the mobile service in question. We exemplify the use of the context model by discussing its application to a mobile learning system.

A General-purpose Context Modeling Architecture for Adaptive Mobile Services / Pederson, Thomas; Ardito, Carmelo; Bottoni, Paolo; Francesca Costabile, Maria (LECTURE NOTES IN COMPUTER SCIENCE). - In: Advances in Conceptual Modeling – Challenges and Opportunities : ER 2008 Workshops [...] Proceedings / [a cura di] Il-Yeol Song ; Mario Piattini; Yi-Ping Phoebe Chen; Sven Hartmann; Fabio Grandi; Juan Trujillo; Andreas L. Opdahl; Fernando Ferri; Patrizia Grifoni; Maria Chiara Caschera; Colette Rolland; Carson Woo; Camille Salinesi; Esteban Zimányi; Christophe Claramunt ; Flavius Frasincar; Geert-Jan Houben; Philippe Thiran. - STAMPA. - Berlin; Heidelberg : Springer, 2008. - ISBN 978-3-540-87990-9. - pp. 208-217 [10.1007/978-3-540-87991-6_26]

A General-purpose Context Modeling Architecture for Adaptive Mobile Services

Carmelo Ardito;
2008-01-01

Abstract

Mobile context-aware computing aims at providing services that are optimally adapted to the situation in which a given human actor is. An open problem is that not all mobile services need contextual information at the same level of abstraction, or care for all aspects of the user's situation. It is therefore impossible to create a unique context model that is useful and valid for all possible mobile services. In this paper we present a compromise: a three-tiered context modeling architecture that offers high-level mobile services a certain freedom in choosing what contextual parameters they are interested in, and on what abstraction level. We believe the proposal offers context modeling power to a wide range of high-level mobile services, thus eliminating the need for each service to maintain complete context models (which would result in severe modeling redundancy if many services run in parallell). Each mobile service must only maintain those parts of the context model that are application-dependent and specific to the mobile service in question. We exemplify the use of the context model by discussing its application to a mobile learning system.
2008
Advances in Conceptual Modeling – Challenges and Opportunities : ER 2008 Workshops [...] Proceedings
978-3-540-87990-9
Springer
A General-purpose Context Modeling Architecture for Adaptive Mobile Services / Pederson, Thomas; Ardito, Carmelo; Bottoni, Paolo; Francesca Costabile, Maria (LECTURE NOTES IN COMPUTER SCIENCE). - In: Advances in Conceptual Modeling – Challenges and Opportunities : ER 2008 Workshops [...] Proceedings / [a cura di] Il-Yeol Song ; Mario Piattini; Yi-Ping Phoebe Chen; Sven Hartmann; Fabio Grandi; Juan Trujillo; Andreas L. Opdahl; Fernando Ferri; Patrizia Grifoni; Maria Chiara Caschera; Colette Rolland; Carson Woo; Camille Salinesi; Esteban Zimányi; Christophe Claramunt ; Flavius Frasincar; Geert-Jan Houben; Philippe Thiran. - STAMPA. - Berlin; Heidelberg : Springer, 2008. - ISBN 978-3-540-87990-9. - pp. 208-217 [10.1007/978-3-540-87991-6_26]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11589/193645
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