Semantic media decision taking using N3logic

Authors:
Wim Lancker;Davy Deursen;Ruben Verborgh;Rik Walle
Affiliations:
Department of Electronics and Information Systems --- Multimedia Lab, Ghent University --- IBBT, Ledeberg-Ghent, Belgium 9050;Department of Electronics and Information Systems --- Multimedia Lab, Ghent University --- IBBT, Ledeberg-Ghent, Belgium 9050;Department of Electronics and Information Systems --- Multimedia Lab, Ghent University --- IBBT, Ledeberg-Ghent, Belgium 9050;Department of Electronics and Information Systems --- Multimedia Lab, Ghent University --- IBBT, Ledeberg-Ghent, Belgium 9050
Venue:
Multimedia Tools and Applications
Year:
2013

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Abstract

In this paper, we introduce a media decision taking engine (MDTE), enabling the automatic selection and/or rating of multimedia content versions, based on the available context information. The presented approach is fully semantic-driven, which means that we not only semantically model the context information, but also the decision algorithms themselve, which are represented in N3 Rules, a rule language that extends RDF. The decision rules are based on a rating function, supporting the specification of weights and affinity parameters for each environment property. Finally, we show how the MDTE is integrated in a media delivery platform, using the provisions of the existing Web infrastructure.