Title: Automating ontologies for e-learning

Authors: R.M. Suresh; K. Dinakaran; Rebecca Amulya

Addresses: Department of Computer Science and Engineering, Sri Muthukumaran Institute of Technology, Chennai, Tamil Nadu, India ' Department of Computer Science and Engineering, R.M.D. Engineering College, Chennai, Tamil Nadu, India ' Tata Consultancy Services, Chennai, Tamil Nadu, India

Abstract: Electronic learning is gaining importance due to the emerging technologies. Many courseware repositories exist that cater to the need of the users, but they do not provide an automatic prerequisite and follow-up identification facility. This model is developed in such a way that it provides such a facility. The solution is obtained by implementing the project using ontological data mining concepts. Ontological data mining helps in the development of domain ontologies from text data automatically by using the term frequency-inverse document frequency method. Thus, the work is implemented in such a way that domain ontologies are generated for a given portable document format file so that the automatic prerequisite and follow-up identification becomes easy. The system extracts the concepts using term frequency-inverse document frequency weighting scheme and then determines the associations among concepts using a priori algorithm. These relationships are used to build the dependency graph which is finally imported to form domain ontology.

Keywords: ontologies; manual approach; semi-automatic approach; automatic approach; ontology construction; e-learning; ontological data mining; online learning; electronic learning; dependency graphs.

DOI: 10.1504/IJMSO.2014.063134

International Journal of Metadata, Semantics and Ontologies, 2014 Vol.9 No.3, pp.227 - 232

Received: 04 Apr 2013
Accepted: 03 Jan 2014

Published online: 03 Jul 2014 *

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