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Measuring the understandability of deduction rules for OWL

Nguyen, Tu; Power, Richard; Piwek, Paul and Williams, Sandra (2012). Measuring the understandability of deduction rules for OWL. In: First International Workshop on Debugging Ontologies and Ontology Mappings, 8 Oct 2012, Galway, Ireland.

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Debugging OWL ontologies can be aided with automated reasoners that generate entailments, including undesirable ones. This information is, however, only useful if developers understand why the entailments hold. To support domain experts (with limited knowledge of OWL), we are developing a system that explains, in English, why an entailment follows from an ontology. In planning such explanations, our system
starts from a justification of the entailment and constructs a proof tree including intermediate statements that link the justification to the entailment. Proof trees are constructed from a set of intuitively plausible deduction rules. We here report on a study in which we collected empirical frequency data on the understandability of the deduction rules, resulting in a facility index for each rule. This measure forms the basis for making a principled choice among alternative explanations, and identifying steps in the explanation that are likely to require extra elucidation.

Item Type: Conference or Workshop Item
Copyright Holders: 2012 Not known
Keywords: explanations; entailments; justifications; understandability; difficulty; deduction rules; inference rules
Academic Unit/School: Faculty of Science, Technology, Engineering and Mathematics (STEM)
Faculty of Science, Technology, Engineering and Mathematics (STEM) > Computing and Communications
Research Group: Centre for Research in Computing (CRC)
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Item ID: 34591
Depositing User: Tu Nguyen
Date Deposited: 16 Oct 2012 13:40
Last Modified: 07 Dec 2018 23:08
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