Using concept similarity in cross ontology for adaptive e-Learning systems

Clicks: 367
ID: 74990
2015
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Abstract
e-Learning is one of the most preferred media of learning by the learners. The learners search the web to gather knowledge about a particular topic from the information in the repositories. Retrieval of relevant materials from a domain can be easily implemented if the information is organized and related in some way. Ontologies are a key concept that helps us to relate information for providing the more relevant lessons to the learner. This paper proposes an adaptive e-Learning system, which generates a user specific e-Learning content by comparing the concepts with more than one system using similarity measures. A cross ontology measure is defined, which consists of fuzzy domain ontology as the primary ontology and the domain expert’s ontology as the secondary ontology, for the comparison process. A personalized document is provided to the user with a user profile, which includes the data obtained from the processing of the proposed method under a User score, which is obtained through the user evaluation. The results of the proposed e-Learning system under the designed cross ontology similarity measure show a significant increase in performance and accuracy under different conditions. The assessment of the comparative analysis, showed the difference in performance of our proposed method over other methods. Based on the assessment results it is proved that the proposed approach is effective over other methods.
Reference Key
saleena2015usingjournal Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Saleena, B.;Srivatsa, S.K.;
Journal journal of king saud university: computer and information sciences
Year 2015
DOI
DOI not found
URL
http://www.sciencedirect.com/science/article/pii/S1319157814000081
Keywords
Information technology Electrical engineering. Electronics. Nuclear engineering Science psychology communication. mass media computer engineering. computer hardware control engineering systems. automatic machinery (general) electronic computers. computer science mathematical geography. cartography

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