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OverviewThe Web Ontology Language, OWL, is the latest standard in logic based ontology languages. The Description Logic foundations of OWL mean that it is possible to compute what is entailed by an OWL ontology. However, without tool support, it can be very diffcult or impossible to understand why an entailment holds. In the OWL world, justifications, which are minimal entailing subsets of ontologies, have emerged as the dominant form of explanation. This thesis investigates justification based explanation techniques. The core of the thesis is devoted to defining and analysing Laconic and Precise Justifications. These are fine-grained justifications whose axioms do not contain any superfluous parts. An extensive empirical evaluation shows that it is practical to compute Laconic Justifications and also reveals prevalence of non-laconic justifications in the wild. The results indicate that Laconic and Precise justifications are likely to be useful in practice. Full Product DetailsAuthor: Matthew HorridgePublisher: BCS Learning & Development Limited Imprint: BCS, The Chartered Institute for IT Dimensions: Width: 21.00cm , Height: 1.60cm , Length: 29.70cm Weight: 0.738kg ISBN: 9781780171791ISBN 10: 178017179 Pages: 304 Publication Date: 26 November 2012 Audience: Professional and scholarly , Professional & Vocational Format: Paperback Publisher's Status: Active Availability: Available To Order ![]() We have confirmation that this item is in stock with the supplier. It will be ordered in for you and dispatched immediately. Language: English Table of ContentsIntroduction Preliminaries Computing Justifications Justification Finding Algorithms The BioPortal Corpus Justification Finding Experiments Justification Granularity Laconic and Precise Justifications Justification Masking Laconic Justification Finding Algorithms Laconic Justification Finding Experiments Understanding Justifications Justification Oriented Proofs Conclusions BibliographyReviewsAuthor InformationMatthew Horridge completed his PhD in the Information Management Group at The University of Manchester where he was supervised by Dr Bijan Parsia and Prof Uli Sattler. Prior to this he worked as a software engineer developing widely used APIs and tools for working with OWL ontologies. Matthew currently works in the Biomedical Informatics Research Group at Stanford University, California. His research interests centre around the conceptual, computational and cognitive aspects of explanation in ontologies. Tab Content 6Author Website:Countries AvailableAll regions |