Abstract
Learning objects are the currency for Educational Information Systems which support learning on the Educational Semantic Web. As such, proper metadata infrastructure must be set up around learning objects so that they are described in a way that agents can understand and also in a way that allows reuse. There are numerous problems with the LOM specification to date, but many research attempts advocate the use of various ontologies in alleviating some of the problems faced with the learning object metadata standards. However, there is a lack of practical examples describing exactly how these ontologies can be attached to a learning object. In light of this, our paper describes a practical approach that makes use of the IEEE LOM standard and which allows multiple ontologies to be included in the markup of learning objects.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
7 References
Berners-Lee, T., Hendler, J., and Lassila, O. (2001). The Semantic Web. Scientific American 284(5): 33–43.
Brooks, C., McCalla, G., and Winter, M. (2005). Flexible learning object metadata. 3rd International Workshop on Applications of Semantic Web Technologies for E-Learning (SW-EL 05) at the 12th International Conference on Artificial Intelligence in Education (AIED 2005), July 18–22, 2005. Amsterdam, The Netherlands. 1–9. Amsterdam: IOS Press.
Gómez-Pérez, A., and Corcho, O. (2002). Ontology languages for the Se mantic Web. IEEE Intelligent Systems 14(2): 45–53.
Hendler, J. (2001). Agents and the Semantic Web. IEEE Intelligent Systems 16(2):30–37.
Instructional Management System Content Packaging Overview. (2005). Available online from: http://www.imsglobal.org/content/packaging/cpv1p2pd/imscp_oviewv1p2pd.html.
Kasai, T., Yamaguchi, H., Nagano, K., and Mizoguchi, R. (2005). A Semantic Web system for helping teachers plan lessons using ontology alignment. In Proc. Semantic Web for E-Learning Workshop at the 12th International Conference on Artificial Intelligence in Education, Amsterdam, the Netherlands. 9–18. Amsterdam: IOS Press.
Knight, C., Gašević, D., and Richards, G. (2005). Ontologies for context-dependent reuse of learning designs and learning content. In Proc. Second Annual Lornet Conference, Vancouver, Canada, 15–18 November, 2005.
Lama, M., Sanchez, E., Amorim, R.R., and Vila, X.A. (2005). Semantic description of the IMS Learning Design specification. In Proc. Semantic Web for E-Learning Workshop at the 12th International Conference on Artificial Intelligence in Education, Amsterdam, the Netherlands. Amsterdam: IOS Press.
Learning Object Metadata Draft Standard. (2002). Available online from: http://ltsc.ieee.org/wgl2/files/LOM_1484_12_l_vl_Final_Draft.pdf
Lui, J., and Greer, J. (2004). Individualized selection of learning objects. In Proc. International Workshop on Applications of Semantic Web Technologies for E-Learning at the International Conference on Intelligent Tutoring Systems, Maceios-Alagoas, Brazil, 30 August–3 September 2004. 29–34.
McCalla, G. (2004). The ecological approach to the design of e-learning environments: Purpose-based capture and use of information about learners. Journal of Interactive Media in Education, 2004 (7). Special Issue on the Educational Semantic Web. ISSN:1365-893X [online] Available from:< www-jime.open.ac.uk/2004/7>.
Mitrovich, A., and Devedžić, V. (2002). A model of Multitutor ontology-based learning environment. In Proc. ICCE Workshop on Concepts and Ontologies in Web-Based Educational Systems 3 December, 2002, Auckland, New Zealand. Edited by L. Aroyo, and D. Dicheva, 17–24. Eindhoven: Computer Science Reports 02/15.
Mohan, P., and Brooks, C. (2003). Learning objects on the Semantic Web. In Proc. Inter national Conference on Advanced Learning Technologies 7–14 July, 2003. Athens, Greece. 195–199. Los Alamitos, California: IEEE Computer Society Press.
Nilsson, M., Palmer, M., and Brase, J. (2003). The LOM RDF binding — principles and implementation. Paper presented at the 3rd Annual Ariadne Conference, Belgium, 20–21 November 2003
RELOAD Project. (2006). Available online from: http://www.reload.ac.uk/
Sicilia, M.A., GarcÃa, E., DÃaz, P., and Aedo, I. (2002). LEARNING LINKS: Reusable assets with support for vagueness and ontology-based typing. In Proc. ICCE Workshop on Concepts and Ontologies in Web-Based Educational Systems 3 December 2002, Auckland, New Zealand. Edited by L. Aroyo and D. Dicheva, 11–16. Eindhoven: Computer Science Reports 02/15.
Verbert, K., Gašević, D., Jovanović, I, and Duval, E. (2005). Ontology-based learning content repurposing. In Proceedings of the 14th Inter national World Wide Web Conference, Chiba, Japan, 10–14 May, 2005. 1140–1141. Seattle, Washington: ACM Press.
Wang, E., and Kim, Y.S. (2005). Ontological support for teaching strategy in intelligent visual reasoning tutor. In Proc. Semantic Web for E-Learning Workshop at the 12th International Conference on Artificial Intelligence in Education, 18 July, 2005, Amsterdam, the Netherlands. 77–78. Amsterdam: IOS Press.
ZarraonandÃa, T., Dodero, J.M., DÃaz, P., and Sarasa, A. (2004). Domain ontologies integration into the learning objects annotation process. In Proc. International Workshop on Applications of Semantic Web Technologies for E-Learning at the International Conference on Intelligent Tutoring Systems, MaceÃos-Alagoas, Brazil, 30 August–3 September 2004. 35–40.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2006 Springer Science+Business Media, LLC
About this paper
Cite this paper
Mohammed, P., Mohan, P. (2006). Incorporating Multiple Ontologies into the IEEE Learning Object Metadata Standard. In: Koné, M.T., Lemire, D. (eds) Canadian Semantic Web. Semantic Web and Beyond, vol 2. Springer, Boston, MA . https://doi.org/10.1007/978-0-387-34347-1_10
Download citation
DOI: https://doi.org/10.1007/978-0-387-34347-1_10
Publisher Name: Springer, Boston, MA
Print ISBN: 978-0-387-29815-3
Online ISBN: 978-0-387-34347-1
eBook Packages: Computer ScienceComputer Science (R0)