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Contextual-Ontologies for an AutoE-Learning Process

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 8175))

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”.

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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

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  • 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)

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