Refining non-taxonomic relation labels with external structured data to support ontology learning
Data & Knowledge Engineering
An approach towards dynamic assembling of learning objects
Proceedings of the International Conference on Advances in Computing, Communications and Informatics
Automatic Organization and Generation of Presentation Slides for E-Learning
International Journal of Distance Education Technologies
A contextual semantic representation of learning assets in online communities of practice
International Journal of Metadata, Semantics and Ontologies
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The reusability in learning objects has always been a hot issue. However, we believe that current approaches to e-Learning failed to find a satisfying answer to this concern. This paper presents an approach that enables capitalization of existing learning resources by first creating "content metadata” through text mining and natural language processing and second by creating dynamically learning knowledge objects, i.e., active, adaptable, reusable, and independent learning objects. The proposed model also suggests integrating explicitly instructional theories in an on-the-fly composition process of learning objects. Semantic Web technologies are used to satisfy such an objective by creating an ontology-based organizational memory able to act as a knowledge base for multiple training environments.