Abstract
We describe a prototype for generating adaptive multimedia presentations through the dynamic selection of files from a large data repository. The presentation is generated based on a conceptual framework encompassing the technical (syntactic), semantic and relational textual annotation of the data as well as context-sensitive rules and patterns of selection discovered with the aid of the system during the preparation phase. The prototype was developed using Java, Flash-MX and XML.
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El Demerdash, O., Bergler, S., Kosseim, L., Langshaw, P.K. (2005). Generating Adaptive Multimedia Presentations Based on a Semiotic Framework. In: Kégl, B., Lapalme, G. (eds) Advances in Artificial Intelligence. Canadian AI 2005. Lecture Notes in Computer Science(), vol 3501. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11424918_44
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DOI: https://doi.org/10.1007/11424918_44
Publisher Name: Springer, Berlin, Heidelberg
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