Semantic annotation of educational resources through linked data

Authors:
Estefanía Otero-García;Juan C. Vidal;Manuel Lama;Alberto Bugarín;José E. Domenech
Affiliations:
Depto. de Electrónica e Computación, Universidade de Santiago de Compostela, Santiago de Compostela, Spain;Depto. de Electrónica e Computación, Universidade de Santiago de Compostela, Santiago de Compostela, Spain;Depto. de Electrónica e Computación, Universidade de Santiago de Compostela, Santiago de Compostela, Spain;Depto. de Electrónica e Computación, Universidade de Santiago de Compostela, Santiago de Compostela, Spain;Netex Knowledge Factory, Oleiros, A Coruña
Venue:
ICWL'10 Proceedings of the 2010 international conference on New horizons in web-based learning
Year:
2010

Citing 4
Cited 1

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DBpedia - A crystallization point for the Web of Data

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Artificial Intelligence: A Modern Approach

Artificial Intelligence: A Modern Approach

Graph-based semantic annotation for enriching educational content with linked data

Knowledge-Based Systems

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Abstract

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.