Ontology modeling in physical asset integrity management /

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Bibliographic Details
Imprint:Cham : Springer, 2015.
©2015
Description:1 online resource (xviii, 264 pages) : illustrations (some color)
Language:English
Series:Online access with purchase: Springer (t)
Subject:
Format: E-Resource Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/11093142
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Other authors / contributors:Ebrahimipour, Vahid, editor.
Yacout, Soumaya, editor.
ISBN:9783319153261
3319153269
9783319153254
3319153250
9783319153254
Digital file characteristics:text file PDF
Notes:Includes bibliographical references and index.
Online resource; title from PDF title page (SpringerLink, viewed April 23, 2015).
Summary:This book presents cutting-edge applications of, and up-to-date research on, ontology engineering techniques in the physical asset integrity domain. Though a survey of state-of-the-art theory and methods on ontology engineering, the authors emphasize essential topics including data integration modeling, knowledge representation, and semantic interpretation. The book also reflects novel topics dealing with the advanced problems of physical asset integrity applications such as heterogeneity, data inconsistency, and interoperability existing in design and utilization. With a distinctive focus on applications relevant in heavy industry, Ontology Modeling in Physical Asset Integrity Management is ideal for practicing industrial and mechanical engineers working in the field, as well as researchers and graduate concerned with ontology engineering in physical systems life cycles. This book also: Introduces practicing engineers, research scientists, and graduate students to ontology engineering as a modeling technique applicable in large-scale and complex system engineering Maximizes readers? understanding of the concepts of physical and plant asset integrity as they affect production and environment sustainability Emphasizes interoperability and interrelation among the different stages of a system life cycle analysis in complex, industrial facilities Features a glossary, a bibliography, and example problems/solutions illustrating applications of ontology engineering in industry
Other form:Printed edition: 9783319153254
Standard no.:10.1007/978-3-319-15326-1