Advertisement

Towards Ontology-Based Embedded Services

  • G. Mahmoudi
  • C. Müller-Schloer
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4158)

Abstract

Current approaches adopting principles of Organic Computing in embedded environments, like the automotive industry, suffer from different weaknesses regarding mainly the description methodology and the intelligence of the system. This paper shows that an ontology-based description, combined with methods of MultiCriteria Decision-Making (MCDM) opens the way for practical employment of organic computing principles in technical applications. The paper presents the current implementation of our approach and indicates steps towards a complete realization of the presented principles.

Keywords

Multi Criterion Decision Make Aggregation Function Autonomic Computing Multiple Attribute Decision Make Semantic Match 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Müller-Schloer, C.: Organic Computing – On the Feasibility of Controlled Emergence. In: CODES + ISSS 2004 Proceedings, September 8-10, 2004, pp. 2–5. ACM Press, New York (2004)Google Scholar
  2. 2.
    Hoffmann, P., Leboch, S. (Daimler Chrysler, A.G.): Evolutionäre Elektronikarchitektur für Kraftfahrzeuge. In: Information Technology 47, vol. 4, Oldenbourg Verlag (2005)Google Scholar
  3. 3.
    Sure, Y., Maedche, A., Staab, S.: levereging Corporate Skill Knowledge – From ProPer to OntoProPer. In: Mahling, D., Reimer, U. (eds.) Proceedings of the Third International Conference on Practical Aspects of Knowledge Management, Basel, Switzerland, October 30-31 (2000)Google Scholar
  4. 4.
    Stojanovic, L., Schneider, J., Maedche, A., Libischer, S., Studer, R., Lumpp, T., Abecker, A., Breiter, G., Dinger, J.: The Role of Ontologies in Autonomic Computing Systems. IBM Systems Journal 43(3) (August 2004)Google Scholar
  5. 5.
    Stegmueller, H.: Audi erprobt semantische Technologien – Zeit fürs Wesentliche. Digital Engineering Magazine (April 2003)Google Scholar
  6. 6.
  7. 7.
  8. 8.
  9. 9.
    Gruber, T.R.: A translation Approach to Portable Ontology Specifications. Knowledge Acquisition 5(2), 199–220 (1993)CrossRefGoogle Scholar
  10. 10.
    Gruber, T.R.: Toward Principles for the Design of Ontologies Used for Knowledge Sharing. International Journal Human-Computer Studies 43, 907–928 (1993)Google Scholar
  11. 11.
    Fensel, D., Hendler, J., Lieberman, H., Wahlster, W. (eds.): Spinning the Semantic Web, pp. 317–359. MIT Press, Cambridge (2003)Google Scholar
  12. 12.
    International Society on Multiple Criteria Decision Making, http://project.hkkk.fi/MCDM/intro.html
  13. 13.
    Eiselt, H.A., Sandblom, C.-L.: Decision Analysis, Location Models, and Scheduling ProblemsGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • G. Mahmoudi
    • 1
  • C. Müller-Schloer
    • 1
  1. 1.System and Computer ArchitectureInstitute of Systems EngineeringHannoverGermany

Personalised recommendations