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Common Data Model in AmI Environments

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Ubiquitous Computing and Ambient Intelligence. Personalisation and User Adapted Services (UCAmI 2014)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 8867))

Abstract

Ambient Intelligence environments involve a wide range of different devices typically associated to protocols not compatible with each other. This is probably one of the possible problems to reach the full explosion of the internet of things because of the lack of standards for sensor data exchanging. This paper proposes a solution for the exchange and storage of information developing a generic model to be used with different sources of data. The model is light enough to be used in low-cost and low performance hardware. The paper also describes how the model is used in a scenario supporting different contexts, as industrial devices or environmental data.

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References

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Author information

Authors and Affiliations

  1. COGRADE group, CITIUS, University of Santiago de Compostela, La Coruña, Spain

    David Martínez Casas, Sebastián Villarroya Fernández, Moisés Vilar Vidal, José Manuel Cotos Yáñez, José Ramón Ríos Viqueira & José Angel Taboada González

Authors
  1. David Martínez Casas
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  2. Sebastián Villarroya Fernández
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  3. Moisés Vilar Vidal
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  4. José Manuel Cotos Yáñez
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  5. José Ramón Ríos Viqueira
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  6. José Angel Taboada González
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Editor information

Editors and Affiliations

  1. Escuela Superior de Informática, Castilla Ly Mancha University, Paseo de la Universidad 4, 13071, Ciudad Real, Spain

    Ramón Hervás

  2. Department of Computer Engineering, Kyung Hee University, Seocheon-dong, Giheung-gu, 446-701, Yongin-si, Gyeongi-do, Korea

    Sungyoung Lee

  3. Computer Science Research Institute, School of Computing and Mathematics, University of Ulster, Jordanstown Campus, Shore Road, BT37 0QB, Newtownabbey, UK

    Chris Nugent

  4. Escuela Superior de Informática, Castilla La Mancha University, Paseo de la Universidad 4, 13071, Ciudad Real, Spain

    José Bravo

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© 2014 Springer International Publishing Switzerland

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Martínez Casas, D., Villarroya Fernández, S., Vilar Vidal, M., Cotos Yáñez, J.M., Ríos Viqueira, J.R., Taboada González, J.A. (2014). Common Data Model in AmI Environments. In: Hervás, R., Lee, S., Nugent, C., Bravo, J. (eds) Ubiquitous Computing and Ambient Intelligence. Personalisation and User Adapted Services. UCAmI 2014. Lecture Notes in Computer Science, vol 8867. Springer, Cham. https://doi.org/10.1007/978-3-319-13102-3_35

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  • DOI: https://doi.org/10.1007/978-3-319-13102-3_35

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-13101-6

  • Online ISBN: 978-3-319-13102-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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