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Towards Distributed Learning in Internet of Things. Air Quality Monitoring Use Case

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New Trends in Model and Data Engineering (MEDI 2019)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1085))

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Abstract

The Internet of Things (IoT) is becoming a buzz word due to the extensive application of it. It can be found anywhere nowadays, Healthcare, Smart cities, Smart energy, smart buildings and so on. The internet of thing has been a subject of improvement in terms of the price, size and persistence, but one of the main challenges in understanding IoT is in dealing with the device and data heterogeneities and establishing the interoperability between devices, information, and services built on top of it. Therefore, Ontologies can bring the change we are aiming in establishing a standard inter-devices communication and enable interoperability in m2m communication that allows data and data semantics to be described in application-independent ways.

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Notes

  1. 1.

    http://saref.linkeddata.es.

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Author information

Authors and Affiliations

  1. Computer Systems Engineering Laboratory (LISI), Faculty of Science Semlalia, Cadi Ayyad University, Marrakesh, Morocco

    Lazrak Noussair, Jihad Zahir & Hajar Mousannif

  2. Department of Informatics and Systems, Faculty of Computer Science, Campus de Espinardo, University of Murcia, Murcia, Spain

    Jesualdo Tomás Fernández Breis

Authors
  1. Lazrak Noussair
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  2. Jesualdo Tomás Fernández Breis
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  3. Jihad Zahir
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  4. Hajar Mousannif
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Corresponding author

Correspondence to Lazrak Noussair .

Editor information

Editors and Affiliations

  1. University of Nantes, Nantes, France

    Christian Attiogbé

  2. Software Competence Center Hagenberg, Hagenberg, Austria

    Flavio Ferrarotti

  3. University of Bordeaux, Bordeaux, France

    Sofian Maabout

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Noussair, L., Fernández Breis, J.T., Zahir, J., Mousannif, H. (2019). Towards Distributed Learning in Internet of Things. Air Quality Monitoring Use Case. In: Attiogbé, C., Ferrarotti, F., Maabout, S. (eds) New Trends in Model and Data Engineering. MEDI 2019. Communications in Computer and Information Science, vol 1085. Springer, Cham. https://doi.org/10.1007/978-3-030-32213-7_12

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  • DOI: https://doi.org/10.1007/978-3-030-32213-7_12

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-32212-0

  • Online ISBN: 978-3-030-32213-7

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