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TitleImproving modularity, interoperability and extensibility in Ambient Intelligence
Author(s)Gomes, Marco
Carneiro, Davide Rua
Pimenta, André
Nunes, Milton
Novais, Paulo
Neves, José
KeywordsAmbient Intelligence
Issue date2014
PublisherSpringer Verlag
JournalAdvances in Intelligent Systems and Computing
CitationGomes M., Carneiro D., Pimenta A., Nunes M., Novais P., Neves J., Improving Modularity, Interoperability and Extensibility in Ambient Intelligence Ambient Intelligence- Software and Applications – 5th International Symposium on Ambient Intelligence (ISAmI 2014), Carlos Ramos, Paulo Novais, Céline Nihan and Juan Corchado (Eds), Springer - Series Advances in Intelligent and Soft Computing, Vol. 291, ISBN 978-3 319-07595-2, pp 63-70, 2014.
Abstract(s)Ambient Intelligence (AmI) and its related elds 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. Speci cally, 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.
TypeConference paper
ISBN978-3 319-07595-2
Publisher version
AccessOpen access
Appears in Collections:CCTC - Artigos em atas de conferências internacionais (texto completo)

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