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Software Architecture, Knowledge Compiler and Ontology Design for Cognitive Technical Systems Suitable for Controlling Assembly Tasks

In: Automation, Communication and Cybernetics in Science and Engineering 2009/2010

Author

Listed:
  • Eckart Hauck

    (ZLW/IMA & IfU, RWTH Aachen University)

  • Daniel Ewert

    (ZLW/IMA & IfU, RWTH Aachen University)

  • Arno Gramatke

    (ZLW/IMA & IfU, RWTH Aachen University)

  • Klaus Henning

    (IMA/ZLW & IfU - RWTH Aachen University)

Abstract

Companies in High-Wage countries face the so called polylemma of production. It consists out of two dilemmas. On the one hand the dilemma of value vs. planning orientation and on the other the dilemma scale vs. scope. To reduce the dilemma of planning vs. value orientation cognitive technical systems are a promising approach. To enact cognitive behavior a technical system has to incorporate an extensive knowledge base. This paper deals with the software architecture of such a system, the concept of a knowledge compiler which is able to transform different knowledge representation formalisms and the design for the ontology which is the foundation of the knowledge base.

Suggested Citation

  • Eckart Hauck & Daniel Ewert & Arno Gramatke & Klaus Henning, 2011. "Software Architecture, Knowledge Compiler and Ontology Design for Cognitive Technical Systems Suitable for Controlling Assembly Tasks," Springer Books, in: Sabina Jeschke & Ingrid Isenhardt & Klaus Henning (ed.), Automation, Communication and Cybernetics in Science and Engineering 2009/2010, pages 383-391, Springer.
    • Handle: RePEc:spr:sprchp:978-3-642-16208-4_35
    DOI: 10.1007/978-3-642-16208-4_35
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