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.
This work was supported by the Ministerio de Educación y Ciencia and the Xunta de Galicia under the projects TSI2007-65677C02-02 and 09SIN065E respectively.
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Otero-García, E., Vidal, J.C., Lama, M., Bugarín, A., Domenech, J.E. (2011). Semantic Annotation of Educational Resources through Linked Data. In: Luo, X., Cao, Y., Yang, B., Liu, J., Ye, F. (eds) New Horizons in Web-Based Learning - ICWL 2010 Workshops. ICWL 2010. Lecture Notes in Computer Science, vol 6537. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-20539-2_33
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DOI: https://doi.org/10.1007/978-3-642-20539-2_33
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