HaMA: A Handicap-based Architecture for Multimedia Document Adaptation

Asma Saighi, Roose Philippe, Nassira Ghoualmi, Sébastien Laborie and Zakaria Laboudi
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Asma Saighi: Badji Mokhtar University, Department of Computer Science, LRS Laboratory, Annaba, Algeria
Roose Philippe: Liuppa, Univ Pau & Pays Adour, Anglet, France
Nassira Ghoualmi: Badji Mokhtar University, Department of Computer Science, LRS Laboratory, Annaba, Algeria
Sébastien Laborie: Liuppa, Univ Pau & Pays Adour, Anglet, France
Zakaria Laboudi: University of Constantine 2, Department of Computer Science, MISC Laboratory, Constantine, Algeria

International Journal of Multimedia Data Engineering and Management (IJMDEM), 2017, vol. 8, issue 3, 55-96

Abstract: Nowadays, multimedia documents are omnipresent at any time from and to any devices. However, mobile devices heterogeneity and the various contexts of the user require their adaptation. In this context, the existing systems transform contents to comply with the target constraints. Nevertheless, the current solutions do not exploit the profile semantic benefits to reason upon the context for assisting the adaptation. Furthermore, there is no work that care of adapting HTML pages containing CSS and changing in time, where time specification is declarative (e.g. by means of timesheets). This paper provides an adaptation approach called “Handicap-based Multimedia Adaptation” (HaMA), in which each context constraint corresponds to handicap types in order to discover adaptation services. Thus, a generic ontology is introduced to reason upon the context and then deduces the corresponding handicap in order to infer the suitable adaptation guideline. Also, we propose a method for selecting appropriate services with respect to quality criteria. To validate HaMA, scenarios were implemented.

Date: 2017
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