Ibrahim Teo, Noor Hasimah and Joy, Mike (2018) Categorized question template generation for ontology-based assessment questions. International Journal of Knowledge Engineering, 4 (2). pp. 72-75. doi:10.18178/ijke.2018.4.2.103

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Abstract

This paper discusses how to generate question templates by interpreting existing assessment questions from textbooks and validating concepts from existing ontologies. Previous work shows that most of the concepts that exist in the ontologies can be used as keywords to generate useful assessment questions. In this paper, we consider questions generated from a variety of ontologies, and question taxonomies, which include definitions, concept completions, and comparisons. Evaluation of novel techniques for question generation provides insights on how to extract a pattern from assessment questions in a textbook in order to create question templates that can be used with concepts presented in ontologies to generate useful questions. This paper discusses the method used and the experimental results

Item Type:	Journal Article
Divisions:	Faculty of Science > Computer Science
Journal or Publication Title:	International Journal of Knowledge Engineering
Publisher:	Bioinfo Publications
ISSN:	0976-5816
Official Date:	December 2018
Dates:	Date Event December 2018 Published
Date of first compliant deposit:	19 August 2019
Volume:	4
Number:	2
Page Range:	pp. 72-75
DOI:	10.18178/ijke.2018.4.2.103
Status:	Peer Reviewed
Publication Status:	Published
Access rights to Published version:	Open Access
Related URLs:	Publisher

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