Authors: B. Saleena; S.K. Srivatsa
Addresses: School of Computer Science and Engineering, VIT University – Chennai Campus, Vandalur, Chennai-600048, India ' Department of Electronics and Instrumentation Engineering, St. Josephs College of Engineering, Old Mamallapuram Road, Chennai-600 119, India
Abstract: The main aim of the proposed work is to design an automated approach to extract domain ontology from the e-learning resources. The domain ontology derived is embedded into the e-learning system so that the learners can be provided with more relevant and meaningful learning materials based on their knowledge levels. The advantage of the proposed approach is the concept map extraction that is effectively achieved through the use of association rule mining algorithm and fuzzy techniques. Experimentations were carried out to prove the efficiency in constructing the domain ontology and the performance is analysed with the previous approach. Simulation experiments were carried out to implement the automated domain ontology to the adaptive e-learning system.
Keywords: e-learning; fuzzy domain ontology; concept map extraction; information gain; entropy; association rule mining; taxonomy; innovation; electronic learning; online learning; fuzzy logic; simulation.
International Journal of Innovation and Learning, 2014 Vol.15 No.3, pp.254 - 273
Received: 08 May 2021
Accepted: 12 May 2021
Published online: 30 Apr 2014 *