Author(s): T. Sheeba, S. Hameetha Begum
Published in: International Journal of Engineering Research & Technology
License: This work is licensed under a Creative Commons Attribution 4.0 International License.
Volume/Issue: Vol.2 - Issue 2 (February - 2013)
E-Learning is a process in which electronic medium is used to access the defined set of applications and processes. In E-Learning environment, studies of the behaviors of the learner are essential to provide an adaptive E-Learning system. Ontology has the potential to play an important role in representing an area of knowledge. This paper proposes ontology to classify learner profile based on their activities and personal information. Two specific examples were designed to show the automatic classification of learner profile. Experiments were performed using the OWL reasoner Pellet and editor Prot¸«±g¸«± 4.2 beta version. The results of our performance evaluation show that the ontology is able to classify and locate learner profile, according to the desired area, age, interest, profession etc.
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