Relaxed Abduction Robust Information Interpretation for Industrial Applications /

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 Rela...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Hubauer, Thomas (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Wiesbaden : Springer Fachmedien Wiesbaden : Imprint: Springer Vieweg, 2016.
Edición:1st ed. 2016.
Temas:
Computer science-Mathematics.
Artificial intelligence.
Engineering mathematics.
Engineering-Data processing.
Mathematics of Computing.
Artificial Intelligence.
Mathematical and Computational Engineering Applications.
Acceso en línea:Texto Completo

MARC

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250 |a 1st ed. 2016. 
264 1 |a Wiesbaden :  |b Springer Fachmedien Wiesbaden :  |b Imprint: Springer Vieweg,  |c 2016. 
300 |a XVII, 134 p. 11 illus., 1 illus. in color.  |b online resource. 
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505 0 |a Formalizing Diagnostics Using Description Logics -- Formalization and Properties of Relaxed Abduction -- Solving Diagnostic Problems Using Relaxed Abduction -- Incremental Diagnostics. 
520 |a 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. 
650 0 |a Computer science-Mathematics. 
650 0 |a Artificial intelligence. 
650 0 |a Engineering mathematics. 
650 0 |a Engineering-Data processing. 
650 1 4 |a Mathematics of Computing. 
650 2 4 |a Artificial Intelligence. 
650 2 4 |a Mathematical and Computational Engineering Applications. 
710 2 |a SpringerLink (Online service) 
773 0 |t Springer Nature eBook 
776 0 8 |i Printed edition:  |z 9783658144067 
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950 |a Computer Science (SpringerNature-11645) 
950 |a Computer Science (R0) (SpringerNature-43710) 

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