Predicting the Understandability of OWL Inferences

author: Richard Power, Faculty of Mathematics, Computing and Technology, Open University (OU)
published: July 8, 2013,   recorded: May 2013,   views: 2652


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In this paper, we describe a method for predicting the understandability level of inferences with OWL. Speci cally, we present a probabilistic model for measuring the understandability of a multiple step inference based on the measurement of the understandability of individual inference steps. We also present an evaluation study which con rms that our model works relatively well for two-step inferences with OWL. This model has been applied in our research on generating accessible explanations for an entailment of OWL ontologies, to determine the most understandable inference among alternatives, from which the nal explanation is generated.

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