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Context Awareness-Based Ontology Using Internet of Things for Multimedia Documents Adaptation

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Advanced Information Technology, Services and Systems (AIT2S 2017)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 25))

Abstract

The Internet of things (IoT) is a technical concretization of ubiquitous computing where technology is naturally integrated into the things of our daily life. The main objective of IoT is to make the world easier for human beings where things around us predict our preferences and context, and act autonomously without human interactions. Adapting multimedia documents to user context is a serious issue for user-aware development. Good context based-adaptive approach requires dynamic adaptation to the user, not only to its position, time of day, or to environment characteristics but also to its mood, preferences, or even disabilities. In this paper, we introduce a context-based approach which combines the IoT with semantic web services to predict the user current context and enable a dynamic adaptation of multimedia documents.

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Author information

Authors and Affiliations

  1. Mathematics and Computer Science Department, Faculty of Sciences and Techniques, Hassan I University, Settat, Morocco

    Hajar Khallouki & Mohamed Bahaj

Authors
  1. Hajar Khallouki
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  2. Mohamed Bahaj
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Corresponding author

Correspondence to Hajar Khallouki .

Editor information

Editors and Affiliations

  1. Faculty of Sciences and Technologies, Tangier, Morocco

    Mostafa Ezziyyani

  2. Faculty of Sciences and Technologies, University Hassan 1st, Settat, Morocco

    Mohamed Bahaj

  3. Faculty of Sciences and Technologies, Mohammedia, Morocco

    Faddoul Khoukhi

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Khallouki, H., Bahaj, M. (2018). Context Awareness-Based Ontology Using Internet of Things for Multimedia Documents Adaptation. In: Ezziyyani, M., Bahaj, M., Khoukhi, F. (eds) Advanced Information Technology, Services and Systems. AIT2S 2017. Lecture Notes in Networks and Systems, vol 25. Springer, Cham. https://doi.org/10.1007/978-3-319-69137-4_7

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  • DOI: https://doi.org/10.1007/978-3-319-69137-4_7

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-69136-7

  • Online ISBN: 978-3-319-69137-4

  • eBook Packages: EngineeringEngineering (R0)

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