TOWARDS SOCIAL-SOFTWARE FOR THE EFFICIENT REUSE OF SOLUTION PATTERNS FOR SELF-OPTIMIZING SYSTEMS

Roman Dumitrescu, Benjamin Klöpper

Abstract

The conceivable development of information technology will enable mechatronic systems with partial intelligence. We refer to such systems as self-optimizing systems. Self-optimizing systems react autonomously and flexibly on changing environmental conditions. They have to learn and optimize their behavior during operation. Hence the design of such self-optimizing systems is an even more interdisciplinary task than the design of conventional mechatronic systems. Additionally to mechanical, electrical, control and software engineers also experts from mathematical optimization and artificial intelligence are involved. As a consequence a domain-spanning methodology is necessary in order to guarantee an effective work flow between the participating developers from various domains and their domain-specific methods and solutions. In this contribution a specification for the domain-spanning modeling of solution patterns for self-optimizing systems as well as a tool-based approach for the domain-spanning use of patterns based on social-software features are presented.

References

  1. Alexander, C., Ishikawa., S., Silverstein., M., Jacobson., M., Fiksdahl-King., I., and Angel, A. (1977). A Pattern Language. Oxford University Press, New York.
  2. Boulos, M. and Wheelert, S. (2007). The emerging web 2.0 social software: an enabling suite of sociable technologies in health and health care education. Health Information and Libraries Journal, 24:2-23.
  3. Bryant, T. (2006). Social software in academia. Educause Quaterly, 2006(2):61-63.
  4. Chandrasekaran, B., Josephson, J., and Benjamins, V. (1999). What are ontologies, and why do we need them? IEEE Intelligent Systems, 14(1):20-26.
  5. Gausemeier, J., Dumitrescu, R., and Podlogar, H. (2008a). Implementing cognitive functions with active patterns in self-optimizing systems. In Proceedings of 3rd Asia International Symposium on Mechatronics 2008.
  6. Gausemeier, J., Frank., U., and Schmidt, A. (2005). Active patterns of self-optimization as a means for the design of intelligent systems. In Proceedings of the 15th International CIRP Design Seminar 2005.
  7. Gausemeier, J., Frank, U., and Steffen, D. (2006). Specifiying the principle solution of tomorrows mechanical engeneering products. In Proceedings of the Design 2006.
  8. Gausemeier, J., Kahl, S., and Pook, S. (2008b). From mechatronics to self-optimizing systems. In Proceedings of he 7th International Heinz Nixdorf Symposium, volume 223, pages 3-35. HNI-Verlagsschriftenreihe.
  9. Gausemeier, J., Zimmer, D., U. Frank, B. K., and Schmidt, A. (2007). Using active patterns for the conceptual design of self-optimizing systems examplified by an air gap adjustment system. In Proceedings of 27th ASME International Computer and Information in Engineering Conference.
  10. Klöpper, B., Podlogar., H., Witting, K., and Gausemeier, J. (2008). Domain spanning search for solution patterns for conceptual design of self-optimizing systems. In Proceedings of the 1st International Workshop on Data Modeling in Virtual Engineering.
  11. Leuf, B. and Cunningham, W. (2001). The Wiki Way. Quick Collaboration on the Web. Addison-Wesley.
  12. Noy, N. and Musen, M. (2002). Evaluating ontology mapping tools: Requirements and experience. In Proceedings of the Workshop on Evaluation of Ontology Tools at EKAW02.
  13. Pahl, G., Beitz., W., Feldhusen, J., and Grote, K.-H. (2007). Engineering Design A Systematic Approach. Springer Verlag.
  14. Tepper, M. (2003). The rise of social software. netWorker, 7(3):18-23.
  15. VDI (2004). Vdi- guideline 2206 design methodology for mechatronic systems. Technical report, Verein Deutscher Ingenieure (VDI).
Download


Paper Citation


in Harvard Style

Dumitrescu R. and Klöpper B. (2009). TOWARDS SOCIAL-SOFTWARE FOR THE EFFICIENT REUSE OF SOLUTION PATTERNS FOR SELF-OPTIMIZING SYSTEMS . In Proceedings of the International Conference on Knowledge Engineering and Ontology Development - Volume 1: KEOD, (IC3K 2009) ISBN 978-989-674-012-2, pages 342-347. DOI: 10.5220/0002332203420347


in Bibtex Style

@conference{keod09,
author={Roman Dumitrescu and Benjamin Klöpper},
title={TOWARDS SOCIAL-SOFTWARE FOR THE EFFICIENT REUSE OF SOLUTION PATTERNS FOR SELF-OPTIMIZING SYSTEMS},
booktitle={Proceedings of the International Conference on Knowledge Engineering and Ontology Development - Volume 1: KEOD, (IC3K 2009)},
year={2009},
pages={342-347},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002332203420347},
isbn={978-989-674-012-2},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Knowledge Engineering and Ontology Development - Volume 1: KEOD, (IC3K 2009)
TI - TOWARDS SOCIAL-SOFTWARE FOR THE EFFICIENT REUSE OF SOLUTION PATTERNS FOR SELF-OPTIMIZING SYSTEMS
SN - 978-989-674-012-2
AU - Dumitrescu R.
AU - Klöpper B.
PY - 2009
SP - 342
EP - 347
DO - 10.5220/0002332203420347