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Relaxed Abduction : Robust Information Interpretation for Industrial Applications / by Thomas Hubauer.
- Format:
- Book
- Author/Creator:
- Hubauer, Thomas, author.
- Series:
- Computer Science (Springer-11645)
- Language:
- English
- Subjects (All):
- Computer science--Mathematics.
- Computer science.
- Artificial intelligence.
- Applied mathematics.
- Engineering mathematics.
- Mathematics of Computing.
- Artificial Intelligence.
- Mathematical and Computational Engineering.
- Local Subjects:
- Mathematics of Computing.
- Artificial Intelligence.
- Mathematical and Computational Engineering.
- Physical Description:
- 1 online resource (XVII, 134 pages) : 11 illustrations, 1 illustrations in color
- Edition:
- First edition 2016.
- Contained In:
- Springer eBooks
- Place of Publication:
- Wiesbaden : Springer Fachmedien Wiesbaden : Imprint: Springer Vieweg, 2016.
- System Details:
- text file PDF
- Summary:
- 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. Contents Formalizing Diagnostics Using Description Logics Formalization and Properties of Relaxed Abduction Solving Diagnostic Problems Using Relaxed Abduction Incremental Diagnostics Target Groups Researchers and students of computer science, knowledge management, and applied mathematics Practitioners in the area of industrial diagnostics and maintenance 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.
- Contents:
- Formalizing Diagnostics Using Description Logics
- Formalization and Properties of Relaxed Abduction
- Solving Diagnostic Problems Using Relaxed Abduction
- Incremental Diagnostics.
- Other Format:
- Printed edition:
- ISBN:
- 978-3-658-14407-4
- 9783658144074
- Access Restriction:
- Restricted for use by site license.
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