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A Community-Based Semantic Social Context-Aware Driven Adaptation for Multimedia Documents

Abstract : This paper presents an approach to enhance users experience through the use of recommendations and social networks for on-the-fly at runtime adaptation of multimedia documents. This paper presents also CSSAP, a dynamic service selection and assembly tool based on new user profiles and community profiles defined as set of semantic metadata, which context, quality of service and quality of experience parameters. The tool is based on community-aware semantic services and offer architecture, with three layers semantic query, community management and semantic services. The most innovative characteristic of the tool is that it profits from the potential of semantic representation techniques to express context constraints and community's interests, while they may be useful to generate and manage of complex dynamic adaptation process. This tool improves assembly of relevant adaptation services for communities inferred social influence from a Facebook as virtual P2P environment. The proposed approach has been validated through a prototype for mobiles user of multimedia contents exchanges. The goal is to improve assembly of potential adaptation services and the efficiency and effectiveness of the authors' approach.
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https://hal-univ-pau.archives-ouvertes.fr/hal-01906771
Contributor : Gaelle Chancerel-Lannuzel <>
Submitted on : Saturday, October 27, 2018 - 5:45:03 PM
Last modification on : Thursday, March 5, 2020 - 7:11:24 PM

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Adel Alti, Sébastien Laborie, Philippe Roose. A Community-Based Semantic Social Context-Aware Driven Adaptation for Multimedia Documents. Int. J. Virtual Communities Soc. Netw., 2015, 7 (2), pp.31--49. ⟨10.4018/IJVCSN.2015040102⟩. ⟨hal-01906771⟩

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