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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...
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