Part of the book series:Advances in Intelligent Systems and Computing ((AISC,volume 291))
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Abstract
Ambient Intelligence (AmI) and its related fields emerged some years ago with the exciting promise of pervasive intelligence, magic interaction mechanisms, and everywhere availability. This promise would be materialized in homes that knew all about our habits and preferences, proactive workplaces to support people’s work or personal digital assistants to improve our daily living in all aspects possible. This somewhat utopian vision, expected by many to have already taken place, remains unaccomplished and far from it. Many challenges still lay ahead which delayed and continue to delay the expected technological unravelling. In this paper we focus on the immense technological challenges of designing and implementing AmI Systems. Specifically, we propose a technological approach that will contribute to overcome some of these challenges by making developed AmI solutions more modular, interoperable, and extensible. This will result especially advantageous for large development teams or teams that span multiple institutions.
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Authors and Affiliations
CCTC/DI, Universidade do Minho, Braga, Portugal
Marco Gomes, Davide Carneiro, André Pimenta, Milton Nunes, Paulo Novais & José Neves
- Marco Gomes
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- Davide Carneiro
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- André Pimenta
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- Milton Nunes
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- Paulo Novais
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- José Neves
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Correspondence toMarco Gomes.
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Editors and Affiliations
Polytechnic of Porto, Porto, Portugal
Carlos Ramos
CCTC/Informatics Department, University of Minho, Braga, Portugal
Paulo Novais
Haute Ecole d'Ingénierie et de Gestion du Canton de Vaud, Yverdon-les-Bains, Switzerland
Céline Ehrwein Nihan
Department of Computing Science and Control, University of Salamanca, Salamanca, Spain
Juan M. Corchado Rodríguez
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Gomes, M., Carneiro, D., Pimenta, A., Nunes, M., Novais, P., Neves, J. (2014). Improving Modularity, Interoperability and Extensibility in Ambient Intelligence. In: Ramos, C., Novais, P., Nihan, C., Corchado Rodríguez, J. (eds) Ambient Intelligence - Software and Applications. Advances in Intelligent Systems and Computing, vol 291. Springer, Cham. https://doi.org/10.1007/978-3-319-07596-9_7
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