Marquardt / Morbach / Wiesner OntoCAPE

A Re-Usable Ontology for Chemical Process Engineering
1. Auflage 2009
ISBN: 978-3-642-04655-1
Verlag: Springer
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, 481 Seiten

Reihe: RWTHedition

Motivation for this Book Ontologies have received increasing attention over the last two decades. Their roots can be traced back to the ancient philosophers, who were interested in a c- ceptualization of the world. In the more recent past, ontologies and ontological engineering have evolved in computer science, building on various roots such as logics, knowledge representation, information modeling and management, and (knowledge-based) information systems. Most recently, largely driven by the next generation internet, the so-called Semantic Web, ontological software engineering has developed into a scientific field of its own, which puts particular emphasis on the theoretical foundations of representation and reasoning, and on the methods and tools required for building ontology-based software applications in diverse domains. Though this field is largely dominated by computer science, close re- tionships have been established with its diverse areas of application, where - searchers are interested in exploiting the results of ontological software engine- ing, particularly to build large knowledge-intensive applications at high productivity and low maintenance effort. Consequently, a large number of scientific papers and monographs have been p- lished in the very recent past dealing with the theory and practice of ontological software engineering. So far, the majority of those books are dedicated to the th- retical foundations of ontologies, including philosophical treatises and their re- tionships to established methods in information systems and ontological software engineering.

Wolfgang Marquardt, born in 1956 in Germany, studied Chemical Engineering at the University of Stuttgart and graduated with the degree of a 'Dipl-Ing. ' in 1982. Subsequently, he worked for the Institute of System Dynamics and Control of the University of Stuttgart and completed his dissertation in 1988. He was honored with the Award of the Alumni Foundation of the University of Stuttgart (Freunde der Universität Stuttgart).
He left the University of Stuttgart in 1989 to do post-doctoral research on a NATO-scholarship at the UWPREL in the Department of Chemical Engineering at the University of Wisconsin-Madison. He was distinguished with the Arnold-Eucken-Preis of VDI-GVC for his accomplishments on the analysis and control of distillation processes in 1990.In 1991 to finish the 'Habilitation' on 'Dynamic Modelling and Simulation of Chemical Processes'. In 1992, he moved to RWTH Aachen University of Technology where he was appointed to Professor for Process Systems Engineering. Since then he has build up a research group of about 30 people with various projects in different areas of process systems engineering.
In 1998, Wolfgang has been appointed a member of the North-Rhine-Westfalian Academy of Sciences (Nordrhein-Westfälische Akademie der Wissenschaften). In 2001, Wolfgang has been awarded the Leibniz-Preis 2001 of DFG, which is the most prestigious prize in science and engineering in Germany. Since 2004, he is a member of both the senate and the joint committee of DFG (German Research Foundation). His areas of interest: methods and computer-aids for process modeling, analysis and design emphasizing process dynamics, process monitoring, process operation and process control.Jan Morbach, born in 1976 in Germany, studied Mechanical Engineering majoring Chemical Engineering at RWTH Aachen University and Carnegie Mellon University, Pittsburgh, and received his Diploma (Dipl.-Ing) in 2002. He worked at AVT - Process Systems Engineering RWTH Aachen from 2002 to 2007 as a research assistant. His areas of interest are: ontology engineering, knowledge management in chemical engineering, , and computer-aided process design. Since 2007, Jan works as a process engineer for Bayer Technology Services in area of conceptual design.Andreas Wiesner, born in 1981 in Germany, studied Mechanical Engineering majoring Chemical Engineering at RWTH Aachen University and Imperial College London, and received his Diploma (Dipl.-Ing) in 2006. Since 2006, he works as a research assistant at AVT - Process Systems Engineering RWTH Aachen. His areas of interest are: Data integration in chemical engineering, ontology engineering, computer-aided process design. Aidong Yang, born in 1971 in China, received a B. Eng. degree from Hebei University of Technology in 1992 and a Ph.D. degree from Dalian University of Technology in 1997, both in Chemical Engineering. In his postdoctoral career, he worked for several institutions in the area of process systems engineering, with a focus on information modelling and mathematical modelling of chemical process systems. In particular, he was a research fellow at AVT-process systems Engineering RWTH Aachen from 1999 to 2004, where his research was mainly devoted to the development and applications of ontologies for process engineering. Aidong is currently a lecturer at Faculty of Engineering and Physical Sciences in University of Surrey, with research interests in areas including mathematical modelling and optimisation of process systems, application of knowledge engineering methods in process/product development and manufacturing, and integration of engineering software tools.

Autoren/Hrsg.

Marquardt, Wolfgang

Morbach, Jan

Wiesner, Andreas

Yang, Aidong

Inhaltsverzeichnis

1;Preface;5
1.1;Motivation for this Book;5
1.2;Target Audience;7
1.3;Accessing and Using OntoCAPE;8
1.4;About the Authors;9
1.5;Acknowledgements;10
2;Contents;13
3;Introduction;19
3.1;The Need of Knowledge-Based Systems;19
3.2;The Role of Ontologies;22
3.3;The Reusability-Usability Trade-off Problem;23
3.4;Objective and Outline of the Book;25
3.5;References;27
4;Scientific Background;29
4.1;Ontology in Philosophy;29
4.2;Ontology in Computer Science;30
4.3;Representation of Formal Ontologies;32
4.4;Informal and Formal Specification of an Ontology;38
4.5;What an Ontology Is and Isn’t;40
4.6;Classification of Ontologies;42
4.7;Summary;46
4.8;References;47
5;Overview on OntoCAPE;52
5.1;Overview and Structure;52
5.2;Representation and Dissemination;57
5.3;The Meta Model;58
5.4;The Upper Layer;61
5.5;The Conceptual Layer;63
5.6;The Application Layers;68
5.7;References;70
6;Meta Model;74
6.1;Introduction;74
6.2;Fundamental Concepts;78
6.3;Mereology;87
6.4;Topology;94
6.5;Data Structures;106
6.6;References;122
7;Upper Level;126
7.1;System;127
7.2;Network System;153
7.3;Technical System;158
7.4;Coordinate System;168
7.5;Tensor Quantity;170
7.6;References;176
8;Supporting Concepts;180
8.1;Mathematical Relation;180
8.2;Physical Dimension (Partial Model);187
8.3;SI Unit (Partial Model);192
8.4;Space and Time;196
8.5;Geometry;202
8.6;References;210
9;Material;212
9.1;Material (Partial model);212
9.2;Substance (Partial Model);215
9.3;Phase System;243
9.4;References;256
10;Chemical Process Systems;258
10.1;Chemical Process System (Partial Model);258
10.2;CPS Function;263
10.3;CPS Realization;279
10.4;Plant Equipment;291
10.5;Process Control Equipment;293
10.6;CPS Behavior;295
10.7;CPS Performance;321
10.8;Process Units;330
10.9;References;336
11;Mathematical Models;339
11.1;Mathematical Model (Ontology module);340
11.2;Equation System;347
11.3;Numerical Solution Strategy;352
11.4;Cost Model;356
11.5;Process Model;358
11.6;Laws;361
11.7;Property Models;364
11.8;Process Unit Models;366
11.9;References;367
12;Design Principles of OntoCAPE;369
12.1;Coherence;369
12.2;Conciseness;371
12.3;Intelligibility;373
12.4;Adaptability;377
12.5;Minimal Ontological Commitment;380
12.6;Efficiency;380
12.7;Conclusions;382
12.8;References;382
13;Related Work on Ontologies for Engineering Applications;385
13.1;History of OntoCAPE;385
13.2;Work by Other Research Groups;390
13.3;References;399
14;Evolutionary Improvement and Validation through Applications;407
14.1;Process Modeling;408
14.2;Knowledge Management in Engineering Design;413
14.3;Integration of Design Information;421
14.4;Some Measures of Improvement;428
14.5;References;432
15;Conclusions;440
15.1;OntoCAPE in a Nutshell;440
15.2;Design Rationale;441
15.3;Ontology Evolution by a Continuous Improvement Process;442
15.4;From Product to Process;443
15.5;Semantic Technologies in Engineering – Dream or Reality?;445
15.6;References;447
16;Bibliography;449
17;Index;478
18;Index of Concept Descriptions;485