Abstract
In this paper a context-based algorithm to semantically annotate e-learning contents is presented. This algorithm explores the DBpedia graph and uses both syntactic and semantic analysis techniques to identify the RDF triples which annotate the relevant terms that characterize the educational content. This algorithm has been applied to annotate learning fruits which are learning pills presented as web books that provide links to access to complementary and relevant information about the course. © 2011 Springer-Verlag.
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CITATION STYLE
Otero-García, E., Vidal, J. C., Lama, M., Bugarín, A., & Domenech, J. E. (2011). Semantic annotation of educational resources through linked data. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6537 LNCS, pp. 311–320). https://doi.org/10.1007/978-3-642-20539-2_33
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