Towards an integration platform for AmI : A Case Study
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ArticleSeries: ^p Datos electrónicos (1 archivo : 216 KB)Subject(s): Online resources: Summary: The development of intelligent environments involves many different disciplines and skills, which makes unrealistic to think that a single research group or company can develop all the hardware and software required to build such an environment. If we want to effectively support Weiser’s vision, what is really needed is an integration platform which allows different components to seamlessly interact, in order to provide pervasive services and ambient intelligence. In this paper we give a first step towards such a platform by presenting a concrete example of integration, which involves two different projects developed at different universities. As a result, we identify a series of problems that we encountered during the integration process and provide knowledge (lessons learned) that can be used by other projects in order to integrate ubiquitous and ambient intelligence systems.
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Biblioteca de la Facultad de Informática | Biblioteca digital | A0077 (Browse shelf(Opens below)) | Link to resource | No corresponde |
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Formato de archivo: PDF. -- Este documento es producción intelectual de la Facultad de Informática-UNLP (Colección BIPA / Biblioteca.) -- Disponible también en línea (Cons. 25 nov. 2008)
The development of intelligent environments involves many different disciplines and skills, which makes unrealistic to think that a single research group or company can develop all the hardware and software required to build such an environment. If we want to effectively support Weiser’s vision, what is really needed is an integration platform which allows different components to seamlessly interact, in order to provide pervasive services and ambient intelligence. In this paper we give a first step towards such a platform by presenting a concrete example of integration, which involves two different projects developed at different universities. As a result, we identify a series of problems that we encountered during the integration process and provide knowledge (lessons learned) that can be used by other projects in order to integrate ubiquitous and ambient intelligence systems.
2006 ECOOP Workshop on Object Technology for Ambient Intelligence, 2006, July.