Abstract
This paper presents the design of a semantic system to index digital learning resources according to the metadata describing their cognitive features. By “cognitive feature” we mean the cognitive activities (e.g., reading, listening, body interactions, etc.) associated with the form of presentation (e.g., text, audio, image, etc.). The semantic system includes a parser, which detects the semiotic components of a resource, and two ontologies that formally describe the cognitive features and the semiotic descriptors, as well their association.
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For instance, AMSER https://amser.org/.
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Greffier, F., Tajariol, F. (2016). A Semiotic and Cognitive Approach to the Semantic Indexation of Digital Learning Resources. In: Kunifuji, S., Papadopoulos, G., Skulimowski, A., Kacprzyk , J. (eds) Knowledge, Information and Creativity Support Systems. Advances in Intelligent Systems and Computing, vol 416. Springer, Cham. https://doi.org/10.1007/978-3-319-27478-2_27
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