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On Using Multiple Disabilities Profiles to Adapt Multimedia Documents: A Novel Graph-Based Method

Author

Listed:
  • Asma Saighi

    (ReLa(CS)2 Laboratory, University of Oum El Bouaghi, Oum El Bouaghi, Algeria)

  • Zakaria Laboudi

    (ReLa(CS)2 Laboratory, University of Oum El Bouaghi, Oum El Bouaghi, Algeria)

  • Philippe Roose

    (E2S UPPA, University of Pau, Pau, Pyrénées-Atlantiques, France)

  • Sébastien Laborie

    (Université de Pau et des Pays de l'Adour, Pau, Pyrénées-Atlantiques, France)

  • Nassira Ghoualmi-Zine

    (Networks and Systems Laboratory, Badji Mokhtar University-Annaba, Annaba, Algeria)

Abstract

Currently, advanced technological hardware can offer mobile devices which fits in the hand with a capacity to consult documents at anytime and anywhere. Multiple user context constraints as well as mobile device capabilities may involve the adaptation of multimedia content. In this article, the authors propose a new graph-based method for adapting multimedia documents in complex situations. Each contextual situation could correspond to a physical handicap and therefore triggers an adaptation action using ontological reasoning. Consequently, when several contextual situations are identified, this leads to multiple disabilities and may give rise to inconsistency between triggered actions. Their method allows modeling relations between adaptation-actions to select the compatible triggerable ones. In order to evaluate the feasibility and the performance of their proposal, an experimental study has been made on some real scenarios. When tested and compared with some existing approaches, their proposal showed improvements according to various criteria.

Suggested Citation

  • Asma Saighi & Zakaria Laboudi & Philippe Roose & Sébastien Laborie & Nassira Ghoualmi-Zine, 2020. "On Using Multiple Disabilities Profiles to Adapt Multimedia Documents: A Novel Graph-Based Method," International Journal of Information Technology and Web Engineering (IJITWE), IGI Global, vol. 15(3), pages 34-60, July.
    • Handle: RePEc:igg:jitwe0:v:15:y:2020:i:3:p:34-60
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