OntoCAPE: A Re-Usable Ontology for Chemical Process Engineering
β Scribed by Wolfgang Marquardt, Jan Morbach, Andreas Wiesner, Aidong Yang (auth.)
- Publisher
- Springer-Verlag Berlin Heidelberg
- Year
- 2010
- Tongue
- English
- Leaves
- 493
- Series
- RWTHedition
- Edition
- 1
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Synopsis
This book presents OntoCAPE, a formal domain ontology for chemical process engineering, which is based on a general upper ontology for engineering. The organization and structure of the ontology are depicted, and the conceptualizations of various topic areas are described in detail, including the areas of mereology, topology, systems theory, network systems, plant engineering, and others. Additionally, the rationale for choosing one particular conceptualization over the other is explicated, thus providing the reader with the necessary background knowledge for extending and customizing the ontology to his/her own purposes.
Finally, the usage of the ontology is explained, and some sample applications are presented.
β¦ Table of Contents
Front Matter....Pages i-xvii
Introduction....Pages 1-10
Scientific Background....Pages 11-33
Overview on OntoCAPE....Pages 35-56
Meta Model....Pages 57-108
Upper Level....Pages 109-162
Supporting Concepts....Pages 163-194
Material....Pages 195-240
Chemical Process Systems....Pages 241-321
Mathematical Models....Pages 323-352
Design Principles of OntoCAPE....Pages 353-368
Related Work on Ontologies for Engineering Applications....Pages 369-390
Evolutionary Improvement and Validation through Applications....Pages 391-423
Conclusions....Pages 425-433
Bibliography....Pages 435-463
Back Matter....Pages 1-16
β¦ Subjects
Industrial Chemistry/Chemical Engineering; Control, Robotics, Mechatronics; Computer-Aided Engineering (CAD, CAE) and Design
π SIMILAR VOLUMES
The general objective of the thesis is to provide domain independent, and resource independent methods and tools for speeding up the ontology development process and is achieved by reusing and re-engineering as much as possible available non-ontological resources (NORs). To fulfil this overall goal,
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