CFP last date
22 April 2024
Reseach Article

Knowledge Construction and Representation in E-Learning using Semantic Web Techniques

by Jale Narimisaei, Bita Shadgar, Alireza Osareh
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 43 - Number 4
Year of Publication: 2012
Authors: Jale Narimisaei, Bita Shadgar, Alireza Osareh
10.5120/6092-8276

Jale Narimisaei, Bita Shadgar, Alireza Osareh . Knowledge Construction and Representation in E-Learning using Semantic Web Techniques. International Journal of Computer Applications. 43, 4 ( April 2012), 23-26. DOI=10.5120/6092-8276

@article{ 10.5120/6092-8276,
author = { Jale Narimisaei, Bita Shadgar, Alireza Osareh },
title = { Knowledge Construction and Representation in E-Learning using Semantic Web Techniques },
journal = { International Journal of Computer Applications },
issue_date = { April 2012 },
volume = { 43 },
number = { 4 },
month = { April },
year = { 2012 },
issn = { 0975-8887 },
pages = { 23-26 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume43/number4/6092-8276/ },
doi = { 10.5120/6092-8276 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:32:32.508036+05:30
%A Jale Narimisaei
%A Bita Shadgar
%A Alireza Osareh
%T Knowledge Construction and Representation in E-Learning using Semantic Web Techniques
%J International Journal of Computer Applications
%@ 0975-8887
%V 43
%N 4
%P 23-26
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The reason for the growth of e-learning that it provides a convenient and efficient learning environment and practical utilities at anytime and anywhere, so that learners and teachers realize their educational activities with less effort, time and money. In recent years utilization of semantic web techniques for knowledge construction and representation in E-learning gained so much attention. This article presents a system for automatically learning knowledge construction and representation in e-learning which is based on the concept map, RDF data modeling and ontology languages. These concepts can show the mentioned knowledge better and also they convey the meaning. In the proposed method, DBpedia knowledge base is used for extracting learning concepts, also the concept map is applied for creating a graph of concepts and relations between them and editor tools of ontology like protégé are providing a knowledge base of concept map in the format of OWL. The proposed method is developed for creating knowledge base from existing concepts in fuzzy logic domain. Among the advantages of the constructed knowledge base we can mention the meaningfulness, its sharing and reusability in all the learning systems.

References
  1. F. Castro, A. Vellido, À. Nebot, and F. Mugica, "Applying data mining techniques to e-learning problems," Studies in Computational Intelligence (SCI), Vol. 62, pp. 183-221, 2007, Springer-Verlag Berlin Heidelberg.
  2. P. Brusilovsky and C. Peylo, "Adaptive and intelligent web-based educational systems," International Journal of Artificial Intelligence in Education, Vol. 13, no. 2-4, pp. 156-169, 2003.
  3. C. Chen, H. Lee and Y. Chen, "Personalized E-Learning System using Item Response Theory," Computers & Education, Vol. 44, no. 3, pp. 237-255, 2005.
  4. S. Prakasam and Prof. Dr. R. M. Suresh, "An agent-based Intelligent System to enhance E-Learning through Mining Techniques," (IJCSE) International Journal on Computer Science and Engineering, Vol. 2, no. 3, pp. 759-763, 2010.
  5. M. Ueno, "Bayesian Agent in e-learning," E-learning Experiences and Future, Safeeullah Soomro (Ed. ), ISBN: 978-953-307-092-6, pp. 129-146, 2010.
  6. F. Ghaleb, et al. , "E-Learning Model Based On Semantic Web Technology," International Journal of Computing & Information Sciences, Vol. 4, no. 2, pp. 63 - 71, August 2006.
  7. T. Berners-lee, J. Hendler and O. Lassila, "The Semantic Web," Scientific American, pp. 34- 43, 2001.
  8. A. Gladun, J. Rogushina, F. Garcia-Sanchez, R. Martinez-Bejar and J. T. Fernandez-Breis, "An Application of Intelligent Techniques and Semantic Web Technologies in E-Learning Environments," Expert Systems with Application, Vol. 36, no. 2, pp. 1922-1931, March 2009.
  9. N. S. Chen, Kinshuk, C. W. Wei,and H. J. Chen, "Mining E-Learning Domain Concept Map from Academic Articles," Computers & Education, Vol. 50, no. 3, pp. 1009-1021, April 2008.
  10. E. Plotnick, "A graphical system for understanding the relationship between concepts: an ERIC digest," New York: ERIC Clearinghouse on Information and Technology, pp. 1-7, 1997.
  11. M. Brian, "Semantic web Technology", Published in JISC Technology and Standards Watch, pp. 1- 20, 2005.
  12. P. M. Dolia, "Integrating Ontologies into Multi-Agent Systems Engineering (MaSE) for University Teaching Environment," Journal of Emerging Technologies in Web Intelligence, Vol. 2, no. 1, pp. 42- 47, February 2010.
  13. J. Dunkel and R. Bruns, "Semantic E-Learning Agent: Supporting E-learning by semantic web and agents technologies," ENTERPRISE INFORMATION SYSTEMS VI, pp. 237-244, 2006, Springer.
  14. V. N. , Convetini, D. Albanese, A. Marengo, V. Marengo and M. Scalera, "The OSEL taxonomy for the classification of learning objects", Vol. 2, pp. 125-138, 2006.
  15. A. Gladun and J. Rogushina, "Use of Ontological Analysis for Student Skills Control in E-Learning: Semantic Web Approach", International Journal of Science and Technology (IJST), Vol. 1, no. 1, pp. 21-31, 2012.
  16. C. Snae and M. Brueckner, "Ontology- Driven E-Learning System Based on Roles and Activities for Thai Learning Environment," Interdisciplinary Journal of Knowledge and Learning Objects, Vol. 3, pp. 1-17, 2007.
  17. C. Bizer, et al. , "DBpedia - A crystallization point for the Web of Data,", Computer and Information Science, Vol. 7, no. 3, pp. 154-165, 2009, Elsevier.
  18. R. Mirizzi and T. Di Noia, "From Exploratory Search to Web Search and back", In Proceedings of the Fourth Ph. D. Workshop in CIKM, PIKM 2010, pp. 1-16, October 2010, Toronto, Canada.
Index Terms

Computer Science
Information Sciences

Keywords

E-learning Knowledge Representation Knowledge Construction Ontology Semantic Web