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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…mehr

Produktbeschreibung
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.

Dieser Download kann aus rechtlichen Gründen nur mit Rechnungsadresse in A, B, BG, CY, CZ, D, DK, EW, E, FIN, F, GB, GR, HR, H, IRL, I, LT, L, LR, M, NL, PL, P, R, S, SLO, SK ausgeliefert werden.

  • Produktdetails
  • Verlag: Springer-Verlag GmbH
  • Erscheinungstermin: 20.04.2015
  • Englisch
  • ISBN-13: 9783319153261
  • Artikelnr.: 43789774
Autorenporträt
Drs. Vahid Ebrahimipour and Soumaya Yacout are Professors in the Department of Industrial Engineering and Math at the École Polytechnique de Montréal.
Inhaltsangabe
ISO15926.- Ontological Analysis and Engineering Standards: An Initial Study of IFC.- FMEA, HAZID and Ontologies.- Ontology Development and Optimization for Data Integration and Decision Making in Product Design and Obsolescence Management.- Fault Diagnosis System based on ontology for fleet case reused.- Integrating Cultural and Regulatory factors in the Bowtie: Moving from Hand-waving to Rigor.- Addressing uncertainty in estimating the cost for a Product-Service-System Delivering Availability.- Ontology-Based Knowledge Platform to Support Equipment Health in Plant Operations.