Abstract
Educational metadata play a crucial role in enabling learning objects’ discovery for an efficient use. Consequently the e-learning community has developed several educational metadata schemas (e.g. IEEE LOM standard). Unfortunately to implement advanced tools it has been found that those metadata are not sufficient. Thus, many research works suggest the use of educational semantic metadata. However the main barrier is the fact that providing manually semantic metadata still a hard and complex task for authors. Consequently we propose an ontology-based approach allowing the automatic extraction of semantic metadata from a specific sub-set of IEEE LOM metadata. Experimentations results are presented and discussed.
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Farhat, R., Jebali, B., Jemni, M. (2015). Ontology based semantic metadata extraction system for learning objects. In: Chen, G., Kumar, V., Kinshuk, ., Huang, R., Kong, S. (eds) Emerging Issues in Smart Learning. Lecture Notes in Educational Technology. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-44188-6_34
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DOI: https://doi.org/10.1007/978-3-662-44188-6_34
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