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Item Extending the Conceptual Neighborhood Graph of the Relations for the Semantic Adaptation of Multimedia Documents(CERIST, 2011-05) Maredj, Azze-Eddine; Tonkin, NourredineThe recent developments in computing and communication technology permit to users to access multimedia documents with variety of devices (PCs, PDAs, mobile phones…) having heterogeneous capabilities. This diversification of supports has trained the need to adapt multimedia documents according to their execution contexts. A semantic framework for multimedia document adaptation based on the conceptual neighborhood graphs was proposed. In this framework, adapting consists on finding another specification that satisfies the target constraints and which is as close as possible from the initial document. In this paper, we propose a new way of building the conceptual neighborhood graphs to best preserve the proximity between the adapted and the original documents and to deal with more elaborated relations models by integrating the relations relaxation graphs that permit to handle the delays and the distances defined within the relations.Item Spatial adaptation of multimedia documents(CERIST, 2011-03) Maredj, Azze-Eddine; Tonkin, NourredineWith the proliferation of heterogeneous devices (desktop computers, personal digital assistants, phones), multimedia documents must be played under various constraints (small screens, low bandwidth). Taking these constraints into account with current document models is impossible. Hence, generic source documents must be adapted or transformed into documents compatible with the target contexts. The adaptation consists in modifying the specification of the document in a minimal way to lead it to satisfy the target profile. The profile defines constraints that must be satisfied by the document to be played. At this level, the transgressive adaptation becomes necessary when no specification model exists to satisfy this profile. We focus on the spatial dimension of a multimedia document and we provide an approach to the spatial adaptation of multimedia documents that permit to best preserve the initial document semantic by weighting the conceptual neighborhood graph and the integration of the distances relaxation.