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An Ontology Based Context-Aware Architecture for Smart Campus Applications

Conference Paper


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Abstract


  • With an estimated number of more than 15 billion, objects, the management of architectures for the Internet of Things is a veritable challenge. The inherent mobility (in terms of

    devices and users) of the IoT means that the architecture has to be resilient to appearance and disappearance of devices. In this paper, we address the problem of autonomic management of IoT

    architecture by the means of ontologies. The problem we address is that given a dynamic system which is built upon a multitude of entities abstracted as services and characterized by their inputs

    and outputs, evolving targets that aim to provide services in terms of data or in terms of control, our goal is to enable autonomic management of these kinds of systems to cope with changes and

    evolutions so that the specified targets are fulfilled throughout the execution according to the specifics and dynamic needs of the system’s users. We propose an innovative architecture that

    relies on ontologies to enable context-aware application to self-compose on demand. This architecture is being deployed to two smart campuses in two universities from Toulouse, France and Wollongong, Australia.

Authors


  •   Verstaevel, Nicolas R. (external author)
  •   Garzone, Guillaume (external author)
  •   Monteil, Thierry (external author)
  •   Guermouche, Nawal (external author)
  •   Barthelemy, Johan
  •   Perez, Pascal

Publication Date


  • 2018

Citation


  • Verstaevel, N., Garzone, G., Monteil, T., Guermouche, N., Barthelemy, J. & Perez, P. (2018). An Ontology Based Context-Aware Architecture for Smart Campus Applications. 2018 IEEE Intl Conf on Parallel & Distributed Processing with Applications, Ubiquitous Computing & Communications, Big Data & Cloud Computing, Social Computing & Networking, Sustainable Computing & Communications (pp. 1056-1063). United States: IEEE.

Scopus Eid


  • 2-s2.0-85063871043

Ro Full-text Url


  • https://ro.uow.edu.au/cgi/viewcontent.cgi?article=1296&context=smartpapers

Ro Metadata Url


  • http://ro.uow.edu.au/smartpapers/269

Start Page


  • 1056

End Page


  • 1063

Place Of Publication


  • United States

Abstract


  • With an estimated number of more than 15 billion, objects, the management of architectures for the Internet of Things is a veritable challenge. The inherent mobility (in terms of

    devices and users) of the IoT means that the architecture has to be resilient to appearance and disappearance of devices. In this paper, we address the problem of autonomic management of IoT

    architecture by the means of ontologies. The problem we address is that given a dynamic system which is built upon a multitude of entities abstracted as services and characterized by their inputs

    and outputs, evolving targets that aim to provide services in terms of data or in terms of control, our goal is to enable autonomic management of these kinds of systems to cope with changes and

    evolutions so that the specified targets are fulfilled throughout the execution according to the specifics and dynamic needs of the system’s users. We propose an innovative architecture that

    relies on ontologies to enable context-aware application to self-compose on demand. This architecture is being deployed to two smart campuses in two universities from Toulouse, France and Wollongong, Australia.

Authors


  •   Verstaevel, Nicolas R. (external author)
  •   Garzone, Guillaume (external author)
  •   Monteil, Thierry (external author)
  •   Guermouche, Nawal (external author)
  •   Barthelemy, Johan
  •   Perez, Pascal

Publication Date


  • 2018

Citation


  • Verstaevel, N., Garzone, G., Monteil, T., Guermouche, N., Barthelemy, J. & Perez, P. (2018). An Ontology Based Context-Aware Architecture for Smart Campus Applications. 2018 IEEE Intl Conf on Parallel & Distributed Processing with Applications, Ubiquitous Computing & Communications, Big Data & Cloud Computing, Social Computing & Networking, Sustainable Computing & Communications (pp. 1056-1063). United States: IEEE.

Scopus Eid


  • 2-s2.0-85063871043

Ro Full-text Url


  • https://ro.uow.edu.au/cgi/viewcontent.cgi?article=1296&context=smartpapers

Ro Metadata Url


  • http://ro.uow.edu.au/smartpapers/269

Start Page


  • 1056

End Page


  • 1063

Place Of Publication


  • United States