Abstract
Recent efforts in the area of learning technology have resulted in a considerable improvement in the interoperability of digital education resources. On the basis of sharing and integration of digital educational resources, knowledge Processing and service considers the Semantic knowledge extraction of metadata of educational resources, Construction ontology for educational resources, and combining the users personality characteristics, providing semantic-based personalized retrieval and delivery services. In this paper, we work out the architecture of knowledge processing and service system for digital education, then discuss the semantic representation of digital education resources, semantic mining and discovery of digital education resources and personalized knowledge delivery service.
Chapter PDF
Similar content being viewed by others
Keywords
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
References
LUISA (Learning Content Management System Using Innovative Semantic Web Services Architecture), http://www.luisa-project.eu/.
V. Devedzic, “Education and The Semantic Web”, International Journal of Artificial Intelligence in Education (IJAIED), Vol.14, 2004, pp. 39–65.
T.R. Gruber, A translation approach to portable ontologies, Knowledge Acquisition, 1993. [Online].
S. Niwattanakul, M. Eboueya, D. Lillis, “Describing and Researching of Learning Resources with Ontology Model,” jva, pp. 214–222, IEEE John Vincent Atanasoff 2006 International Symposium on Modern Computing (JVA’06), 2006.
Duval, E., Ed. (2002). 1484.12.1 IEEE Standard for Learning Object Metadata. June 2002
Sampson, D.G., Lytras, M.D., Wagner, G., & Diaz, P. (2004). “Guest Editorial:Ontologies and the Semantic Web for E-learning”, Educational Technology & Society, 7(4), 26–28.
Lytras, M., Tsilira, A., Themistocleous, M. (2003). Towards the semantic e-learning:An ontological oriented discussion of the new research agenda in e-learning, In Proceedings of the 9th Americas Conference on Information Systems, Tampa, USA, pp. 2985–2997.
Nilsson, M., Palmer, M., Brase, J. (2003). The LOM RDF binding-principles and implementation, In Proceedings of the 3rd Annual ARIADNE Conference, Leuven, Belgium
Gasevic, Dragan; Hatala, Marek, “Ontology Mappings to Improve Learning Resource Search”, British Journal of Educational Technology, v37 n3 p375–389 May 2006.
Ariadne: Alliance of remote instructional authoring and distributions networks for europe, 2001. http://ariadne.unil.ch/.
Edutella, 2001. http://edutella.jxta.org/.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2007 International Federation for Information Processing
About this paper
Cite this paper
Li, X., Wang, Y. (2007). Knowledge Processing and Service System for Digital Education based on Semantic Web. In: Wang, W., Li, Y., Duan, Z., Yan, L., Li, H., Yang, X. (eds) Integration and Innovation Orient to E-Society Volume 1. IFIP — The International Federation for Information Processing, vol 251. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-75466-6_57
Download citation
DOI: https://doi.org/10.1007/978-0-387-75466-6_57
Publisher Name: Springer, Boston, MA
Print ISBN: 978-0-387-75465-9
Online ISBN: 978-0-387-75466-6
eBook Packages: Computer ScienceComputer Science (R0)