Semantic annotation of educational resources through linked data
In this paper a context-based algorithm to semantically annotate e-learning contents is presented. This algorithm explores the DB-pedia 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.
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Publication: Congress
1624015020976
June 18, 2021
/research/publications/semantic-annotation-of-educational-resources-through-linked-data
In this paper a context-based algorithm to semantically annotate e-learning contents is presented. This algorithm explores the DB-pedia 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. - Estefanía Otero-García, Juan C. Vidal, Manuel Lama, Alberto Bugarín and José E. Domenech - 10.1007/978-3-642-20539-2_33
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