Denaux, R, Thakker, DA, Dimitrova, V et al. (1 more author) (2012) Interactive semantic feedback for intuitive ontology authoring. In: Formal Ontology in Information Systems. Proceedings of the Seventh International Conference (FOIS 2012). Frontiers in Artificial Intelligence and Applications. 7th International Conference on Formal Ontology in Information Systems(FOIS 2012), 24-27 Jul 2012, Graz, Austria. IOS Press , 160 - 173. ISBN 978-1-61499-083-3
Abstract
The complexity of ontology authoring and the difficulty to master the use of existing ontology authoring tools, put significant constraints on the involvement of both domain experts and knowledge engineers in ontology authoring. This often requires substantial effort for fixing ontologies defects (e.g. inconsistency, unsatisfiability, missing or unintended implications, redundancy, isolated entities). The paper argues that ontology authoring tools should provide immediate semantic feedback upon entering ontological constructs. We present a framework to analyse input axioms and provide meaningful feedback at a semantic level. The framework has been used to augment an existing Controlled Natural Language-based ontology authoring tool – ROO. An experimental study with ROO has been conducted to examine users' reactions to the semantic feedback and the effect on their ontology authoring behaviour. The study strongly supported responsive intuitive ontology authoring tools, and identified future directions to extend and integrate semantic feedback.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | (c)2012, IOS Press. This is an author produced version of a paper published in Formal Ontology in Information Systems. Proceedings of the Seventh International Conference (FOIS 2012). Uploaded in accordance with the publisher's self-archiving policy |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Computing (Leeds) > Artificial Intelligence & Biological Systems (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 18 Nov 2014 15:37 |
Last Modified: | 19 Dec 2022 13:28 |
Status: | Published |
Publisher: | IOS Press |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:81162 |