research-article

Knowledge Change Management and Analysis during the Engineering of Cyber Physical Production Systems: A Use Case of Hydro Power Plants

Authors:

Fajar J. Ekaputra,

Estefanía Serral,

Stefan BifflAuthors Info & Claims

SEMANTiCS 2016: Proceedings of the 12th International Conference on Semantic Systems

Pages 105 - 112

https://doi.org/10.1145/2993318.2993325

Published: 12 September 2016 Publication History

Abstract

The process of designing Cyber Physical Production Systems (CPPS), e.g., modern power plants or steel mills, typically takes place in a multi-disciplinary engineering environment, in which experts from various engineering domains and organizations work together towards creating complex engineering artifacts. The process of designing such complex engineering artifacts requires iterations and redesign phases, which lead to continuous changes of the data and knowledge. To manage changes in such environment, we have previously proposed a generic reference process for conducting Knowledge Change Management and Analysis (KCMA). This paper implements this process for the case study of a modern Hydro Power Plant by adapting the proposed generic reference process into a scientific prototype developed using Semantic Web Technologies. Finally, we conduct an evaluation to evaluate the feasibility of the proposed reference process and the developed prototype. Thus, the contribution of this paper is two-folds: (1) A tool-supported prototype for KCMA of a hydro power plant, and (2) A feasibility evaluation of this prototype that reports feedback and lessons learned for achieving KCMA in real-world case studies.

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Cited By

Nešić DEl-Khoury JWestman JNyberg M(2019)Building a Web-Based Federated ToolchainProceedings of the 21st International Conference on Information Integration and Web-based Applications & Services10.1145/3366030.3366043(512-521)Online publication date: 2-Dec-2019
https://dl.acm.org/doi/10.1145/3366030.3366043
Sabou MEkaputra FBiffl S(2017)Semantic Web Technologies for Data Integration in Multi-Disciplinary EngineeringMulti-Disciplinary Engineering for Cyber-Physical Production Systems10.1007/978-3-319-56345-9_12(301-329)Online publication date: 7-May-2017
https://doi.org/10.1007/978-3-319-56345-9_12

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cover image ACM Other conferences

SEMANTiCS 2016: Proceedings of the 12th International Conference on Semantic Systems

September 2016

207 pages

ISBN:9781450347525

DOI:10.1145/2993318

Editors:
Anna Fensel
STI Innsbruck, University of Innsbruck, Austria
,
Amrapali Zaveri
Stanford University, USA
,
Sebastian Hellmann
AKSW/KILT, Institute for Applied Informatics (InfAI), Leipzig, Germany
,
Tassilo Pellegrini
University of Applied Sciences St. Poelten, Austria

Copyright © 2016 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Ghent University: Ghent University
AIT: Austrian Institute of Technology
Stanford University: Stanford University
Wolters Kluwer: Wolters Kluwer, Germany
Semantic Web Company: Semantic Web Company

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 12 September 2016

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SEMANTiCS 2016

SEMANTiCS 2016: 12th International Conference on Semantic Systems

September 12 - 15, 2016

Leipzig, Germany

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SEMANTiCS 2016 Paper Acceptance Rate 18 of 85 submissions, 21%;

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Cited By

Nešić DEl-Khoury JWestman JNyberg M(2019)Building a Web-Based Federated ToolchainProceedings of the 21st International Conference on Information Integration and Web-based Applications & Services10.1145/3366030.3366043(512-521)Online publication date: 2-Dec-2019
https://dl.acm.org/doi/10.1145/3366030.3366043
Sabou MEkaputra FBiffl S(2017)Semantic Web Technologies for Data Integration in Multi-Disciplinary EngineeringMulti-Disciplinary Engineering for Cyber-Physical Production Systems10.1007/978-3-319-56345-9_12(301-329)Online publication date: 7-May-2017
https://doi.org/10.1007/978-3-319-56345-9_12

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