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
published: July 8, 2013, recorded: May 2013, views: 2652
Slides
Related content
Report a problem or upload files
If you have found a problem with this lecture or would like to send us extra material, articles, exercises, etc., please use our ticket system to describe your request and upload the data.Enter your e-mail into the 'Cc' field, and we will keep you updated with your request's status.
Description
In this paper, we describe a method for predicting the understandability level of inferences with OWL. Specically, 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 conrms 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.
Link this page
Would you like to put a link to this lecture on your homepage?Go ahead! Copy the HTML snippet !
Write your own review or comment: