Abstract
Because of the increasing complexity of modern production processes, it is necessary to plan these processes virtually before realizing them in a real environment. On the one hand there are specialized simulation tools simulating a specific production technique with exactness close to the real object of the simulation. On the other hand there are simulations which simulate whole production processes, but often do not achieve prediction accuracy comparable to the specialized tools. The simulation of a production process as a whole achieving the needed accuracy is hard to realize. Incompatible file formats, different semantics used to describe the simulated objects and missing data consistency are the main causes of this integration problem. In this paper, a framework is presented that enables the interconnection of simulation tools of production engineering considering the specific knowledge of a certain domain (e.g. material processing). Therefore, an ontology-based integration approach using domain specific knowledge to identify necessary semantic transformations has been realized. The framework provides generic functionality which, if concretized for a domain, enables the system to integrate any domain specific simulation tool in the process.
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References
Philip A. Bernstein and Laura M. Haas. Information integration in the enterprise. Communications of the ACM – Enterprise information integration and other tools for merging data, 51(9):72–79, 2008.
Philippe Cerfontaine, Thomas Beer, Torsten Kuhlen, and Christian Bischof. Towards a Flexible and Distributed Simulation Platform. In Osvaldo Gervasi, editor, Computational science and its applications, pages 867–882. Springer, 2008.
David A. Chappell. Enterprise Service Bus: Theory in Practice. O'Reilly, Beijing [u.a.], 1 edition, 2004.
Stefan Conrad. Enterprise Application Integration: Grundlagen, Konzepte, Entwurfsmuster, Praxisbeispiele. Elsevier, Spektrum, Akad. Verl., München, 1 edition, 2006.
Jérôme Euzenat and Pavel Shvaiko. Ontology matching. Springer, Berlin/Heidelberg, 1 edition, 2007.
M. Fox and D. Long. PDDL2. 1: An Extension to PDDL for Expressing Temporal Planning Domains. Journal of Artificial Intelligence Research, 20(1):61–124, 2003.
Cheng Hian Goh, Stuart E. Madnick, and Michael D. Siegel. Semantic Interoperability through Context Interchange: Representing and Reasoning about Data Conflicts in Heterogeneous and Autonomous Systems. Massachusetts Institute of Technology, 1997.
Malik Ghallab, Dana S. Nau, and Paolo Traverso. Automated planning: Theory and practice. Elsevier/Morgan Kaufmann, Amsterdam, 2004.
Norbert Gronau. Enterprise resource planning: Architektur, Funktionen und Management von ERP-Systemen. Oldenbourg, München, 2. erw edition, 2010.
Thomas R. Gruber. A Translation Approach to Portable Ontology Specifications. Knowl. Acquis, 5:199–220, 1993.
F. Giunchiglia, P. Shvaiko, and M. Yatskevich. Discovering missing background knowledge in ontology matching. In Proceeding of the 2006 conference on ECAI, pages 382–386. IOS Press, 2006.
Matthew Horridge and Sean Bechhofer. The OWL API: A Java API for Working with OWL 2 Ontologies. In Rinke Hoekstra and Peter F. Patel-Schneider, editors, OWLED 2009, CEUR Workshop Proceedings. CEUR-WS.org, 2009.
Jörg Hoffmann and Bernhard Nebel. The planning system: Fast plan generation through heuristic search. Journal of Artificial Intelligence Research, 14, 2001.
Alon Halevy, Anand Rajaraman, and Joann Ordille. Data integration: The Teenage Years. In Proceedings of the 32nd International Conference on Very Large Databases, VLDB '06, pages 9–16. VLDB Endowment, 2006.
Vipul Kashyap, Christoph Bussler, and Matthew Moran. The Semantic Web: Semantics for Data and Services on the Web. Springer, Berlin, 1 edition, 2008.
Holger Knublauch, Ray W. Fergerson, Natalya F. Noy, and Mark A. Musen. The Protégé OWL Plugin: An Open Development Environment for Semantic Web Applications. In Sheila A. McIlraith, Dimitris Plexousakis, and Frank van Harmelen, editors, The Semantic Web – ISWC 2004, volume 3298 of Lecture Notes in Computer Science, pages 229–243. Springer Berlin/Heidelberg, 2004.
W. Kim and J. Seo. Classifying schematic and data heterogeneity in multidatabase systems. Computer, 24(12):12–18, 1991.
Gottfried Laschet. Homogenization of the thermal properties of transpiration cooled multi-layer plates. Computer Methods in Applied Mechanics and Engineering, 191(41–42):4535–4554, 2002.
C. Lavigne. Advanced ETL with Pentaho Data Integration. Technical report, Breadboard BI, 2006.
Ulf Leser and Felix Naumann. Informationsintegration: Architekturen und Methoden zur Integration verteilter und heterogener Datenquellen. Dpunkt-Verlag, Heidelberg, 1 edition, 2007.
G. Laschet, J. Neises, and I. Steinbach. Micro Macrosimulation of casting processes. 4ème école d'été de “Modelisation numerique en thermique”, C8:1–42.
Tobias Meisen, Daniel Schilberg, and Klaus Henning. Planner Based Data Integration for Simulation Chains in Virtual Production. In Proceedings of the International Conference on Science, Technology and Innovation for Sustainable Well-Being. Klung Na Na Vithya Press Limited Partnership, 2009.
Judith M. Myerson. The Complete Book of Middleware. Auerbach Publications, Boston, MA, USA, 1st edition edition, 2002.
Z. Panian. Supply chain intelligence in e-business environment. In ICCOMP'05: Proceedings of the 9th WSEAS International Conference on Computers, 2005.
Tijs Rademakers and Jos Dirksen. Open-Source ESBs in Action. Manning Publications Co., Greenwich, CT, USA, 1 edition, 2008.
U. Rossiter and O. Mokrov. Integration des Simulationspaketes SimWeld in FEM Analyseprogramme zur Modellierung von Schweiß-prozessen. 2007.
Rudi Studer, Richard Benjamins, and Dieter Fensel. Knowledge Engineering: Principles and Methods. Data & Knowledge Engineering, 25(1–2):161–197, 1998.
R. Schulte. Predicts 2003: Enterprise service buses emerge. Technical report, Gartner, 2002.
Daniel Schilberg. Architektur eines Datenintegrators zur durchgängigen Kopplung von verteilten numerischen Simulationen, volume 807 of Fortschr.-Ber. VDI Reihe 10: Informatik/Kommunikation. VDI-Verl., Düsseldorf, 2010.
D. Schilberg, A. Gramatke, and K. Henning. Semantic Interconnection of Distributed Numerical Simulations Via SOA. In Proceedings of the World Congress on Engineering and Computer Science 2008, WCECS '08, pages 894–897, San Francisco, 2008.
W. Schroeder, K. Martin, and B. Lorensen. The Visualization Toolkit. Kitware, 3 edition, 2004.
G. J. Schmitz and U. Prahl. Toward a virtual platform for materials processing. JOM, 61(5):19–23, 2009.
Evren Sirin, Bijan Parsia, Bernardo Cuenca Grau, Aditya Kalyanpur, and Yarden Katz. Pellet: A Practical OWL-DL Reasoner. Web Semantics: Science, Services and Agents on the World Wide Web, 5(2):51–53, 2007.
Steffen Staab and Rudi Studer, editors. Handbook on Ontologies. Springer, Berlin/Heidelberg, 1 edition, 2009.
Panos Vassiliadis, Alkis Simitsis, and Spiros Skiadopoulos. Conceptual Modeling for ETL Processes. In Dimitri Theodoratos, editor, Proceedings of the 5th ACM international workshop on Data Warehousing and OLAP, DOLAP '02, pages 14–21. ACM, 2002.
Colin White. Data Integration: Using ETL, EAI, and EII Tools to Create an Integrated Enterprise, 2005.
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Meisen, T., Meisen, P., Schilberg, D., Jeschke, S. (2013). Application Integration of Simulation Tools Considering Domain Specific Knowledge. In: Jeschke, S., Isenhardt, I., Hees, F., Henning, K. (eds) Automation, Communication and Cybernetics in Science and Engineering 2011/2012. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33389-7_77
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DOI: https://doi.org/10.1007/978-3-642-33389-7_77
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