Ontology Based Semantic Retrieval of Learner Profile

نویسنده

  • T. Sheeba
چکیده

E-learning refers to the use of electronic technologies to deliver and facilitate training anytime, anyplace. The major challenge in e-learning is that the learner is unable to extract relevant information on the web. Ontology-based semantic retrieval is a hotspot of current research. Ontologies play an important role in the development of knowledge. This paper proposes ontology based semantic retrieval for learner profile using Resource Description Framework (RDF). First, a data model is constructed to represent learner profile information on the Semantic Web. Then, semantic retrieval is obtained by applying the query language SPARQL (Simple Protocol and RDF Query Language). In addition SWRL (Semantic Web Rule Language) rule language is also applied to increase the expressiveness of OWL language. Experiments were performed using the editor Protégé 4.2 beta. The result shows the successful semantic retrieval of learner profile information on the Semantic Web.

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تاریخ انتشار 2014