Home > Archive > 2012 > Volume 2 Number 5 (Oct. 2012) >
IJML 2012 Vol.2(5): 569-572
doi: 10.7763/IJMLC.2012.V2.191

Personalization of e-Learning Services using Web Mining and Semantic Web

Sandesh Jain , Dhanander K. Jain , Harihar Bhojak , Ankit Bhilwar , Mamatha J.

  • Center of Development of Advanced Computing, Hyderabad, India.

Abstract

The e-Learning has become matured learning paradigm with the advent of web based learning and content management tools, and shifted the focus of entire world from instructor centric learning paradigm to learner centric approach. Now for making the learning process more streamlined and standardized, the implementing agencies are emphasizing on moving towards service oriented architectural design approach to create, deploy and manage reusable e-Learning services, thus benefiting education sector. For providing the intelligence to evaluation system and other e-Learning services, various domains like data mining, web mining, semantic web etc. can be utilized intelligently. In this paper, we will describe an approach aiming to achieve personalization in e-Learning services using web mining and semantic web.

Keywords

  • Semantic web
  • web mining
  • service oriented architecture (SOA)
  • learning object (LO)
  • knowledge space
  • knowledge domain
191-C00515-001

How to Cite

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Sandesh Jain, Dhanander K. Jain, Harihar Bhojak, Ankit Bhilwar, and Mamatha J., "Personalization of e-Learning Services using Web Mining and Semantic Web," International Journal of Machine Learning, vol. 2, no. 5, pp. 569-572, 2012. https://doi.org/10.7763/IJMLC.2012.V2.191

Copyright & License

Copyright © 2012 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

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General Information

  • E-ISSN: 2972-368X
  • Abbreviated Title: Int. J. Mach. Learn.
  • DOI: 10.18178/IJML
  • Frequency: Quarterly
  • Average Days to Accept: 68 days
  • Acceptance Rate: 27%
  • Editor-in-Chief: Dr. Lin Huang
  • Executive Editor:  Ms. Cherry L. Chen
  • DOI: 10.18178/IJML
  • Abstracing/Indexing: Google Scholar, Crossref, ProQuest, Electronic Journals Library, CNKI.
  • E-mail: editor@ijml.org
  • APC: 500USD