An ontology‐based architecture for the design of knowledge bases in Intelligent Instructional Systems

Helmut Meisel (Department of Computing Science, University of Aberdeen, Aberdeen AB24 3UE, Scotland, UK)
Ernesto Compatangelo (Department of Computing Science, University of Aberdeen, Aberdeen AB24 3UE, Scotland, UK)

Interactive Technology and Smart Education

ISSN: 1741-5659

Publication date: 31 August 2004

Abstract

This paper describes an architecture for the usage of Instructional Design (ID) knowledge in intelligent instructional systems. In contrast with other architectures, ontologies are used to represent ID knowledge about both what to teach and how to teach. Moreover, set‐theoretic reasoning is used for the provision of inferential services. In particular, the paper shows how set‐theoretic deductions can be applied (i) to support the modelling of ID knowledge bases, (ii) to retrieve suitable teaching methods from them, and (iii) to detect errors in a training design. The intelligent knowledge management environment CONCEPTOOL is used to demonstrate the benefits of the proposed architecture.

Keywords

Citation

Meisel, H. and Compatangelo, E. (2004), "An ontology‐based architecture for the design of knowledge bases in Intelligent Instructional Systems", Interactive Technology and Smart Education, Vol. 1 No. 3, pp. 157-170. https://doi.org/10.1108/17415650480000020

Download as .RIS

Publisher

:

Emerald Group Publishing Limited

Copyright © 2004, Emerald Group Publishing Limited

Please note you might not have access to this content

You may be able to access this content by login via Shibboleth, Open Athens or with your Emerald account.
If you would like to contact us about accessing this content, click the button and fill out the form.
To rent this content from Deepdyve, please click the button.