Access this book
Tax calculation will be finalised at checkout
Other ways to access
Table of contents (5 chapters)
-
Front Matter
-
Back Matter
Keywords
About this book
Thomas Hubauer addresses the challenge of providing reasonable interpretations of incomplete observational data in the context of imperfect domain models – a situation often encountered in the context of industrial diagnostics. To tackle this problem, the author proposes a novel approach called Relaxed Abduction, which is able to derive pragmatic interpretations in situations where existing methods either fail or provide overly complex solutions. To strengthen the link to applications in industrial diagnostics, he develops a methodology to structure diagnosis problems according to ISO 13379 and express it using multiple description logic knowledge bases.
Authors and Affiliations
About the author
Thomas Hubauer is a Research Scientist at the R&D department of a large German engineering company. His topics of interest range from ontologies and reasoning to machine learning and data analytics.
Bibliographic Information
Book Title: Relaxed Abduction
Book Subtitle: Robust Information Interpretation for Industrial Applications
Authors: Thomas Hubauer
DOI: https://doi.org/10.1007/978-3-658-14407-4
Publisher: Springer Vieweg Wiesbaden
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer Fachmedien Wiesbaden 2016
Softcover ISBN: 978-3-658-14406-7Published: 10 June 2016
eBook ISBN: 978-3-658-14407-4Published: 01 June 2016
Edition Number: 1
Number of Pages: XVII, 134
Number of Illustrations: 10 b/w illustrations, 1 illustrations in colour
Topics: Mathematics of Computing, Artificial Intelligence, Mathematical and Computational Engineering