Charlton, P. and Magoulas, George D. (2010) Autonomic computing and ontologies to enable context-aware learning design. In: UNSPECIFIED (ed.) IEEE International Conference on Tools with Artificial Intelligence. New York, USA: Institute of Electrical and Electronics Engineers, pp. 286-291. ISBN 9781424488179.
Abstract
Semantic web technologies and autonomic computing principles are combined in this paper in an attempt to design and build a learning design environment that possesses context-aware features. Our approach builds on the features of self-management and organisation of autonomic computing but uses self-configuration as a means to extend a knowledge-based inference through the design of meta-level inference. Thus, the context inference is modelled using a meta-interpreter and self-configuration rules. The details of our approach are presented demonstrating the use of self-configurable inferencing to support the creation and use of context-paths across learning design domain concepts. The paths exploit ontology alignment principles to determine contextual relevance between user learning designs and core system knowledge.
Metadata
| Item Type: | Book Section |
|---|---|
| School: | Birkbeck Faculties and Schools > Faculty of Science > School of Computing and Mathematical Sciences |
| Research Centres and Institutes: | Birkbeck Knowledge Lab |
| Depositing User: | Sarah Hall |
| Date Deposited: | 18 Jul 2013 13:15 |
| Last Modified: | 09 Aug 2023 12:33 |
| URI: | https://eprints.bbk.ac.uk/id/eprint/7723 |
Statistics
Additional statistics are available via IRStats2.
Archive Staff Only (login required)
