THE ROLE OF LEARNING OBJECT ONTOLOGIES

Juha Puustjärvi

2006

Abstract

Educational information systems should provide easy access to learning material. In addition learning material should be linked in a way that the learner can easily access all required material. Unfortunately current metadata standards and learning object content models do not support such features as they do not capture enough semantics of learning objects. In this article we present the ontologies that give the semantics for metadata descriptions, and thus support semantic querying and conceptual navigation of learning objects. Semantic querying differs from traditional keyword based searching in that searching expressions are based on ontologies, which describe the concepts of the domain in which learning takes place. Semantic querying can also be used for content based integration of learning objects. Conceptual navigation in turn means that named links can be used in navigating between learning objects. Named links are analogous with the relationships in conceptual models.

References

  1. Antoniou, G. & Harmelen, F. (2004). A semantic web primer. The MIT Press.
  2. Daconta, M., Obrst, L. & Smith, K. (2003). The semantic web. Indianapolis: John Wiley & Sons.
  3. DAML+OIL (2005). http://www.daml.org/2001/03/daml +oil/index.html
  4. Davies, J. Fensel, D. & Harmelen, F. (2002), Towards the semantic web: ontology driven knowledge management. West Sussex: John Wiley & Sons.
  5. Dublin Core (2002). http://www.dublin.core.org.
  6. Gruber, Thomas R. (1993). Toward principles for the design of ontologies used for knowledge sharing. Padua workshop on Formal Ontology.
  7. IMS Global Learning Consortium. (2002). http://www.imsproject.org/metadata/index.html
  8. LOM - Learning Object Metadata. (2002). http://ltsc.ieee.org/doc/wg12/LOM_1484_12_1_v1_Fi nal_Draft.pdf.
  9. Najjar, J. Stefaan Ternier, S. & Duval, E. (2003). The Actual Use of Metadata in ARIADNE: an Empirical Analysis, 3rd Annual Ariadne Conference, Belgium.
  10. OWL -WEB Ontology Language (2005). http://www.w3.org/TR/owl-ref/
  11. RDFS (2005). http://www.w3.org/TR/2000/CR-rdfschema-20000327/
  12. SCORM (2005). http://www.rhassociates.com/scorm.htm
  13. Ullman, J. & Widom J. (1998) Principles of Database Systems. Prentice Hall. 1998.
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Paper Citation


in Harvard Style

Puustjärvi J. (2006). THE ROLE OF LEARNING OBJECT ONTOLOGIES . In Proceedings of WEBIST 2006 - Second International Conference on Web Information Systems and Technologies - Volume 2: WEBIST, ISBN 978-972-8865-47-4, pages 365-370. DOI: 10.5220/0001239303650370


in Bibtex Style

@conference{webist06,
author={Juha Puustjärvi},
title={THE ROLE OF LEARNING OBJECT ONTOLOGIES},
booktitle={Proceedings of WEBIST 2006 - Second International Conference on Web Information Systems and Technologies - Volume 2: WEBIST,},
year={2006},
pages={365-370},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001239303650370},
isbn={978-972-8865-47-4},
}


in EndNote Style

TY - CONF
JO - Proceedings of WEBIST 2006 - Second International Conference on Web Information Systems and Technologies - Volume 2: WEBIST,
TI - THE ROLE OF LEARNING OBJECT ONTOLOGIES
SN - 978-972-8865-47-4
AU - Puustjärvi J.
PY - 2006
SP - 365
EP - 370
DO - 10.5220/0001239303650370