e-LEARNING AND SEMANTIC WEB

Alexandros Karakos

Abstract

e-Learning is fast, relevant and just-in-time learning grown from the learning requirements of the new, dynamically changing and distributed educational world. The term “Semantic Web” encompasses efforts to build a new WWW architecture that supports content with formal semantics, which enables better possibilities for searching and navigating through the cyberspace. As such, the Semantic Web represents a promising technology for realizing e-Learning requirements. This paper presents an approach for implementing the e-Learning scenario using Semantic Web technologies. It is primarily based on ontology-based descriptions of content, context and structure of the learning materials and benefits the providing of and accessing to the learning materials.

References

  1. Angad Grewal, Shri Rai, Rob Phillips and Chun Che fung. 2005. The E-Learning Lifecycle and its Services:The Web Services Approach. Special Issue of the International Journal of The Computer, the Internet and Management, 4.8.
  2. Berners-Lee T. 2000. What the semantic web can represent.http://www.w3.org/DesignIssues/RDFnot.ht ml.
  3. Casati, F., U. Dayal, eds. 2002. Special Issue on Web Services. IEEE Bulletin of the Technical Committee on Data Engineering, 25 (4).
  4. Dalziel, J. 2002. Reflections on the COLIS. Learning: Australasian Society for Computers in Learning in Tertiary Education.
  5. Decker, S., Erdmann, M., Fensel, D., & Studer, R. 1999.Ontobroker: Ontology based access to distributed and semi-structured information, in Meersman, R. et al. (Eds.) pp. 351-369, Database Semantics: Semantic Issues in Multimedia Systems, Boston, USA, ,. Kluwer Academic Publisher.
  6. DublinCore. An Overview of the Dublin Core Metadata Initiative. (2003).
  7. Hawryszkiewycz, I. T. 2002. Designing Learning Activities From Learning Objects. Proceedings of ASCILITE, Unitec, Auckland, New Zealand.
  8. Husemann, B., J. Lechtenborger, G. Vossen, P.Westerkamp. 2002. - A Platform for Graduate-Level Exercises; in Proc. Int. Conf. on Computers in Education, Auckland, Newzealand, pp. 1262-1266.
  9. South, J. B., & Monson, D. W. 2000. A University-wide System for Creating, Capturing, and Delivering Learning Objects. In D. A. Wiley (Ed.), The Instructional Use of Learning Objects.
  10. Vossen, G., P. Jaeschke. 2002. Towards a Uniform and Flexible Data Model for Learning Objects. In Proc. 30th Annual Conf. of the Int. Bus. School Computing Assoc. (IBSCA), Savannah, Georgia, July, pp. 99-129.
  11. Wiley, D. A. 2000. Connecting learning objects to instructional design theory: A definition, a metaphor, and taxonomy. In D. A. Wiley (Ed.). The Instructional Use of Learning Objects.
Download


Paper Citation


in Harvard Style

Karakos A. (2009). e-LEARNING AND SEMANTIC WEB . In Proceedings of the First International Conference on Computer Supported Education - Volume 1: CSEDU, ISBN 978-989-8111-82-1, pages 419-422. DOI: 10.5220/0001972404190422


in Bibtex Style

@conference{csedu09,
author={Alexandros Karakos},
title={e-LEARNING AND SEMANTIC WEB},
booktitle={Proceedings of the First International Conference on Computer Supported Education - Volume 1: CSEDU,},
year={2009},
pages={419-422},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001972404190422},
isbn={978-989-8111-82-1},
}


in EndNote Style

TY - CONF
JO - Proceedings of the First International Conference on Computer Supported Education - Volume 1: CSEDU,
TI - e-LEARNING AND SEMANTIC WEB
SN - 978-989-8111-82-1
AU - Karakos A.
PY - 2009
SP - 419
EP - 422
DO - 10.5220/0001972404190422