Table of Contents
Journal of Computational Engineering
Volume 2015, Article ID 812835, 14 pages
http://dx.doi.org/10.1155/2015/812835
Research Article

Holistic Ontology-Based Assistance System for Efficient Process Model Parameter Identification

1Chair for Technical Information Systems, Dresden University of Technology, 01062 Dresden, Germany
2Institute of Machine Tools and Control Engineering, Dresden University of Technology, 01062 Dresden, Germany

Received 30 July 2014; Accepted 20 January 2015

Academic Editor: Franca Giannini

Copyright © 2015 Burkhard Hensel et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked References

  1. J. Mayr, J. Jedrzejewski, E. Uhlmann et al., “Thermal issues in machine tools,” CIRP Annals—Manufacturing Technology, vol. 61, no. 2, pp. 771–791, 2012. View at Publisher · View at Google Scholar · View at Scopus
  2. A. Dementjev and H.-D. Ribbecke, “Improvement of prediction performance in virtual metrology,” in Proceedings of the 11th European AEC/APC Conference, pp. 71–76, Dresden, Germany, April 2011.
  3. Sonderforschungsbereich Transregio 96, Thermo-Energetic Design of Machine Tools, 2014, http://141.30.37.177/SFBweb/?page_id=453.
  4. AMBI—advanced methods for building diagnosics and maintenance, 2014, http://www.ambi-project.eu/.
  5. K. Großmann and G. Jungnickel, “Prozessgerechte Bewertung des thermischen Verhaltens von Werkzeugmaschinen,” Tech. Rep., Technische Universität Dresden, 2006. View at Google Scholar
  6. H. Kubin, M. Benesch, A. Dementjev et al., “ADM: a process identification tool for experts and technologists,” in Proceedings of the 35th Annual Conference of IEEE Industrial Electronics (IECON '09), pp. 1444–1449, Porto, Portugal, November 2009.
  7. H. Kubin, M. Benesch, A. Dementjev et al., “Identification of process models and controller design for vacuum coating processes with a long dead time using an identification tool with advisory support,” in Proceedings of the 14th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA '09), Mallorca, Spain, September 2009. View at Publisher · View at Google Scholar · View at Scopus
  8. L. Ljung, System Identification—Theory for the User, Prentice Hall, Upper Saddle River, NJ, USA, 2nd edition, 1999.
  9. System Identification Toolbox—User's Guide, The Mathworks, Natick, Mass, USA, 2014, http://www.mathworks.com/help/pdf_doc/ident/ident.pdf.
  10. M. Andersson, A Matlab tool for rapid process identification and PID design [M.S. thesis], Department of Automatic Control, Lund Institute of Technology, Lund, Sweden, 2000.
  11. A. G. Wills, A. Mills, and B. Ninness, “A MATLAB software environment for system identification,” in Proceedings of the 15th IFAC Symposium on System Identification (SYSID '09), vol. 15, pp. 741–746, Saint-Malo, France, July 2009. View at Scopus
  12. L. García, M. J. López, and J. Lorenzo, “Hardware/software environment for process identification, robust controller design and hard real time implementation,” in Proceedings of the 5th WSEAS International Conference on Telecommunications and Informatics, pp. 503–508, Istanbul, Turkey, May 2006.
  13. M. Benesch, H. Kubin, and K. Kabitzsch, “Adaptive database for universal data source access in industrial environments for ADM,” in Proceedings of the 12th Mechatronics Forum Biennial International Conference, Proceedings Book 2/2, pp. 210–215, Zurich, Switzerland, June 2010.
  14. S. Tani, S. Takahashi, and T. Sekozawa, “Identification tool for chemical processes,” in Proceedings of the IEEE International Conference on Control Applications, vol. 2, pp. 1561–1566, IEEE, Kohala Coast, Hawaii, USA, August 1999. View at Publisher · View at Google Scholar · View at Scopus
  15. SAS Institute, JMP 9 Design of Experiments Guide, SAS Institute, Cary, NC, USA, 2010.
  16. T. R. Gruber, “A translation approach to portable ontology specifications,” Knowledge Acquisition, vol. 5, no. 2, pp. 199–220, 1993. View at Publisher · View at Google Scholar · View at Scopus
  17. D. Wang, B. Parsia, and J. Hendler, “A survey of the web ontology landscape,” in The Semantic Web—ISWC 2006: Proceedings of the 5th International Semantic Web Conference, ISWC 2006, Athens, GA, USA, November 5–9, 2006, vol. 4273 of Lecture Notes in Computer Science, pp. 682–694, Springer, Berlin, Germany, 2006. View at Publisher · View at Google Scholar
  18. I. Horrocks, “Ontologies and databases,” in Proceedings of the Semantic Days Conference, Stavanger, Norway, April 2008.
  19. F. Baader, D. L. McGuinness, D. Nardi, and P. F. Patel-Schneider, Eds., The Description Logic Handbook: Theory, Implementation, and Applications, Cambridge University Press, 2003.
  20. W3C OWL Working Group, OWL 2 Web Ontology Language: Document Overview, 2nd edition, 2012, W3C recommendation, 2012, http://www.w3.org/TR/2012/REC-owl2-overview-20121211/.
  21. M. Horridge, N. Drummond, J. Goodwin, A. Rector, R. Stevens, and H. H. Wang, “The manchester OWL syntax,” in Proceedings of the Workshop on OWL: Experiences and Directions (OWLED '06), vol. 216, November 2006. View at Scopus
  22. C. Popescu and J. L. Martínez Lastra, “On ontology mapping in factory automation domain,” in Proceedings of the 12th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA '07), pp. 288–292, Patras, Greece, September 2007. View at Publisher · View at Google Scholar · View at Scopus
  23. J. L. M. Lastra and M. Delamer, “Semantic web services in factory automation: fundamental insights and research roadmap,” IEEE Transactions on Industrial Informatics, vol. 2, no. 1, pp. 1–11, 2006. View at Publisher · View at Google Scholar · View at Scopus
  24. A. Gellrich, D. Lunkwitz, A. Dennert, and K. Kabitzsch, “Rule-driven manufacturing control based on ontologies,” in Proceedings of the 17th International Conference on Emerging Technologies and Factory Autmation (ETFA '12), Kraków, Poland, September 2012. View at Publisher · View at Google Scholar · View at Scopus
  25. M. Ashburner, C. A. Ball, J. A. Blake et al., “Gene ontology: tool for the unification of biology,” Nature Genetics, vol. 25, no. 1, pp. 25–29, 2000. View at Publisher · View at Google Scholar · View at Scopus
  26. J. Ploennigs, B. Hensel, H. Dibowski, and K. Kabitzsch, “BASont—a modular, adaptive building automation system ontology,” in Proceedings of the 38th Annual Conference on IEEE Industrial Electronics Society (IECON '12), pp. 4827–4833, Montréal, Canada, October 2012. View at Publisher · View at Google Scholar · View at Scopus
  27. H. Dibowski and K. Kabitzsch, “Ontology-based device descriptions and device repository for building automation devices,” EURASIP Journal on Embedded Systems, vol. 2011, Article ID 623461, 2011. View at Publisher · View at Google Scholar · View at Scopus
  28. P. A. Fishwick and J. A. Miller, “Ontologies for modeling and simulation: issues and approaches,” in Proceedings of the Winter Simulation Conference, vol. 1, pp. 251–256, IEEE, Savannah, Ga, USA, December 2004. View at Publisher · View at Google Scholar · View at Scopus
  29. J. A. Miller, G. T. Baramidze, A. P. Sheth, and P. A. Fishwick, “Investigating ontologies for simulation modeling,” in Proceedings of the 37th Annual Simulation Symposium, pp. 55–63, Arlington, Va, USA, April 2004.
  30. T. Warden, R. Porzel, J. D. Gehrke, O. Herzog, H. Langer, and R. Malaka, “Towards ontology-based multiagent simulations: the plasma approach,” in Proceedings of the 24th European Conference on Modelling and Simulation (ECMS '10), pp. 50–56, Kuala Lumpur, Malaysia, June 2010. View at Scopus
  31. A. Miller, G. T. Baramidze, A. P. Sheth, G. A. Silver, and P. A. Silver, “Ontologies for modeling and simulation: an initial framework,” 2004, http://www.cs.uga.edu/~jam/jsim/DeMO/paper/journal/final4/demojournal_B_1_7.pdf.
  32. J. Han, J. A. Miller, and G. A. Silver, “SoPT: ontology for simulation optimization for scientific experiments,” in Proceedings of the Winter Simulation Conference (WSC '11), pp. 2909–2920, Phoenix, Ariz, USA, December 2011. View at Publisher · View at Google Scholar · View at Scopus
  33. J. A. Miller, M. E. Cotterell, and S. J. Buckley, “Supporting a modeling continuum in scalation: from predictive analytics to simulation modeling,” in Proceedings of the Winter Simulation Conference, pp. 1191–1202, Washington, DC, USA, December 2013. View at Publisher · View at Google Scholar · View at Scopus
  34. J. Morbach, A. Yang, and W. Marquardt, “OntoCAPE—a large-scale ontology for chemical process engineering,” Engineering Applications of Artificial Intelligence, vol. 20, no. 2, pp. 147–161, 2007. View at Publisher · View at Google Scholar · View at Scopus
  35. J. Morbach, A. Wiesner, and W. Marquardt, “OntoCAPE—a (re)usable ontology for computer-aided process engineering,” Computers & Chemical Engineering, vol. 33, no. 10, pp. 1546–1556, 2009. View at Publisher · View at Google Scholar · View at Scopus
  36. R. G. Raskin and M. J. Pan, “Knowledge representation in the semantic web for Earth and environmental terminology (SWEET),” Computers & Geosciences, vol. 31, no. 9, pp. 1119–1125, 2005. View at Publisher · View at Google Scholar · View at Scopus
  37. K. Wüsteneck, “Zur philosophischen Verallgemeinerung und Bestimmung des Modellbegriffs,” Deutsche Zeitschrift für Philosophie, vol. 11, no. 12, pp. 1504–1523, 1963. View at Google Scholar
  38. G. E. Box, J. S. Hunter, and W. G. Hunter, Statistics for Experimenters, Wiley, New York, NY, USA, 2005. View at MathSciNet
  39. H. Dibowski, J. Ploennigs, and K. Kabitzsch, “Automated design of building automation systems,” IEEE Transactions on Industrial Electronics, vol. 57, no. 11, pp. 3606–3613, 2010. View at Publisher · View at Google Scholar · View at Scopus
  40. D. Brickley and R. V. Guha, “RDF Schema 1.1,” W3C Recommendation, 2014, http://www.w3.org/TR/2014/REC-rdfschema-20140225/.
  41. The W3C SPARQL Working Group, “SPARQL 1.1 Overview,” W3C Recommendation, March 2013, http://www.w3.org/TR/2013/REC-sparql11-overview-20130321/.
  42. H. Dibowski and K. Kabitzsch, “Generic specification toolchain for ontology-based device descriptions,” in Proceedings of the 15th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA '10), pp. 1–4, Bilbao, Spain, September 2010. View at Publisher · View at Google Scholar · View at Scopus
  43. H. Dibowski, Semantischer gerätebeschreibung ansatz für einen automatisierten entwurf von raumautomation systemen [Ph.D. dissertation], Dresden University of Technology, 2013.
  44. A. C. Özlük, Design space exploration for building automation systems [Ph.D. dissertation], Dresden University of Technology, 2013.