Abstract
According to Brézillon, context is not directly involved in solving a problem, but forced his resolution. In educational community, knowledge is transmitted from tutor to learner(s). However, two main issues are occurred. On one hand, Learner is facing resource bank and s/he has to seek the appropriate information from the relevant resource. To solve this problem, it is required to help learner by providing the context of resources in a pertinent organization. Ontologies represent the essential technology for the organization of eLearning resources. On the other hand, a massive amount of ontologies have spread among eLearning Systems. Our objective is to coordinate these ontologies in order to expand the (re)use, the search, the share of learning resources. For that aim, we propose a method which defines laws to relate automatically relevant parts of different ontologies, based on a mathematical model “Information Flow”.
Keywords
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Houssaye, J.: Le triangle pédagogique. Peter Lange, Berne (1980)
Kalfoglou, Y., Schorlemmer, W.M.: If-map: an ontology mapping method based on information flow theory. In: Spaccapietra, S., March, S., Aberer, K. (eds.) Journal on Data Semantics I. LNCS, vol. 2800, pp. 98–127. Springer, Heidelberg (2003)
Snae, C., Brueckner, M.: Ontology-driven e-learning system based on roles and activities for Thai learning environment. Interdisciplinary Journal of Knowledge and Learning Objects 3 (2007)
Sridharan, B., Hepu, D., Corbitt, J.: An ontology-driven topic mapping approach to multi-level management of e-learning resources. In: Proc. ECIS 2009 (2009)
Gasevic, D., Hatala, M.: Ontology mappings to improve learning resource search. British Journal of Educational Technology 37(3), 375–389
Gruber, T.R.: A translation approach to portable ontology specifications. Journal of Knowledge Acquisition, 199–220 (1993)
Fikes, R.: Ontologies: What are they, and where’s the research? In: Proc. KR 1996, Cambridge, Massachusetts (1996)
Brézillon, P., Pomerol, J.-C.: Contextual knowledge sharing and cooperation in intelligent assistant systems. Le Travail Humain 62(3), 223–246 (1999)
Dapoigny, R., Barlatier, P.: Deriving behavior from goal structure for the intelligent control of physical systems. In: Informatics in Control, Automation and Robotics (2007)
Aroyo, L., Dicheva, D.: Learning and Teaching Support for WWW-based Education. International Journal for Continuing Engineering Education 11(1/2), 152–164 (2001)
Aroyo, L., Dicheva, D.: Authoring Support in Concept-based Web Information Systems for Educational Applications. International Journal of Continuous Engineering Education and Life-long Learning 14(3), 297–312 (2004)
Devedzic, V.: Next-generation Web-based Education. International Journal for Continuing Engineering Education and Life-long Learning 11(1/2), 232–247 (2003)
Dicheva, D., Aroyo, L., Cristea, A.: Cooperative Courseware-Authoring Support. International Journal of Computers and Applications 25(3), 179–187 (2003)
Barwise, J.: Information Flow: The Logic of Distributed Systems, vol. (44). Cambridge University Press (1997)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2013 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Mellal, N. (2013). Contextual-Ontologies for an AutoE-Learning Process. In: Brézillon, P., Blackburn, P., Dapoigny, R. (eds) Modeling and Using Context. CONTEXT 2013. Lecture Notes in Computer Science(), vol 8175. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-40972-1_28
Download citation
DOI: https://doi.org/10.1007/978-3-642-40972-1_28
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-40971-4
Online ISBN: 978-3-642-40972-1
eBook Packages: Computer ScienceComputer Science (R0)