Title: Designing a novel cross ontology measure to extract resources from knowledge base for an adaptive e-learning system

Authors: B. Saleena; S.K. Srivatsa

Addresses: School of Computer Science and Engineering, VIT University, Chennai Campus, Vandalur, Chennai, Tamil Nadu 600048, India ' Department of Electronics and Instrumentation Engineering, St. Josephs College of Engineering, Chennai, Tamil Nadu 600025, India

Abstract: E-Learning deals with the interaction between the teacher and learner on the basis of knowledge possessed by the learner. Ontology is a key concept that helps in providing more relevant and accurate information to the users for a particular domain or from multiple domains. Finding semantic similarity between the concepts of different ontologies will enhance the integration and retrieval of resources in a more meaningful way. In this paper, an adaptive e-learning system is proposed, which generates use r-specific e-learning contents based on their knowledge level and by comparing the similarity of concepts between ontologies. Based on this a new approach is designed to retrieve more relevant and accurate documents by embedding a new Concept Similarity measure (ConSim), after evaluating the user's knowledge based on the search query. The experimental results prove that after embedding the ConSim measure the retrieval results have been improved.

Keywords: ontology; similarity measure; concept similarity; WordNet; MeSH; semantics; adaptive e-learning; electronic learning; online learning.

DOI: 10.1504/IJMSO.2014.063130

International Journal of Metadata, Semantics and Ontologies, 2014 Vol.9 No.3, pp.193 - 203

Received: 09 May 2013
Accepted: 03 Jan 2014

Published online: 03 Jul 2014 *

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