Skip to main content

Ontology-Based Approach in Hybrid Engineering Knowledge Representation for Stamping Die Design

  • Conference paper
  • First Online:
Book cover New World Situation: New Directions in Concurrent Engineering

Part of the book series: Advanced Concurrent Engineering ((ACENG))

Abstract

This work is concerned with building Knowledge Based Engineering Applications aimed at Small and Middle Enterprises (SME). In the article an analysis of shortcomings current approaches is presented. In addition an innovative point of view at the building of such tools is demonstrated and a general framework for dealing with knowledge is proposed and discussed. Development of a tool to support stamping die design for an automotive supplier as a case study is presented. The main concept assumes an application which consists of two kernels: knowledge base and retrieval system. The retrieval system is a control module which retrieves required information from knowledge base. In proposed solution knowledge is represented with means of two different approaches: ontological knowledge base, which is dedicated for declarative knowledge and procedural knowledge, which is represented in advanced parametrically driven associative geometrical models. Such a knowledge base is readable for both a computer agent and expert. The solution bridges the gap between human oriented knowledge and formal knowledge models and is aimed at solving synthetic and deductive tasks, especially configuration design.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 259.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 329.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 329.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Dartigues C, Ghodous P, Grüninger M, Pallez D, Sriram R. CAD/CAPP Integration using feature technology. Concurr Eng. 2007;15(2):237–49.

    Article  Google Scholar 

  2. Fan I, Bermell-Garcia P. International standard development for knowledge based engineering services for product lifecycle management. Concurr Eng Res Appl. 2008;16(4).

    Google Scholar 

  3. Gruber RT. A translation approach to portable ontology specifications. Knowl Acquis. 1993;5(2):199–220.

    Article  Google Scholar 

  4. Hesse S. Umformmaschinen. Edmonton: Vogel; 1995. ISBN 3-8023-1555-3.

    Google Scholar 

  5. Kitamura Y. Roles of ontologies of engineering artifacts for design knowledge modeling. In: Proc. of the 5th International Seminar and Workshop Engineering Design in Integrated Product Development (EDIProD 2006), 21–23 September 2006, Gronów, Poland, pp. 59–69, 2006.

    Google Scholar 

  6. Lovett PJ, Ingram A, Bancroft CN. Knowledge-based engineering for SMEs––a methodology. J Materials Process Technol. 2000;107:384–9.

    Article  Google Scholar 

  7. McInerney C. Knowledge management and dynamic nature of knowledge. J Am Soc Inform Sci Technol. 2002;53(12):1009–18.

    Article  Google Scholar 

  8. Nonaka I, Takeuchi H. The knowledge-creating company; How Japanese companies create the dynamics of innovation. Oxford: Oxford University Press; 1995. ISBN 0-19-509269-4.

    Google Scholar 

  9. Pokojski J. Knowledge based engineering and intelligent personal assistant context in distributed design. Berlin: Springer; 2006. pp. 519–28. ISBN 3-54046246-5.

    Google Scholar 

  10. Probst G, Raub S, Romhardt K. Wissen managen wie Unternehmen ihre wertvollste Ressource optimal nutzen. Gabler: Betriebswirt.-Vlg; 2006. ISBN 3834901172.

    Google Scholar 

  11. Prusak L, Davenport TH. Knowledge management––how companies manage what they know? NY: Mcgraw-Hill; 1998. ISBN 0-87584-655-6.

    Google Scholar 

  12. Schreiber G, Akkermans H, Anjewierden A, de Hoog R, Shadbolt N, Van de Velde W, Wielinga B. Knowledge engineering and management; The CommonKADS Methodology. Cambridge: The MIT Press; 1999. ISBN 0-262-19300-0.

    Google Scholar 

  13. Stokes M, editor. Managing engineering knowledge moka: methodology for knowledge based engineering applications. MOKA Consortium. London: Wiley-Blackwell; 2001. ISBN 1-86058-295-8.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2010 Springer-Verlag London Limited

About this paper

Cite this paper

Ruschitzka, M., Suchodolski, A., Wróbel, J. (2010). Ontology-Based Approach in Hybrid Engineering Knowledge Representation for Stamping Die Design. In: Pokojski, J., Fukuda, S., Salwiński, J. (eds) New World Situation: New Directions in Concurrent Engineering. Advanced Concurrent Engineering. Springer, London. https://doi.org/10.1007/978-0-85729-024-3_22

Download citation

  • DOI: https://doi.org/10.1007/978-0-85729-024-3_22

  • Published:

  • Publisher Name: Springer, London

  • Print ISBN: 978-0-85729-023-6

  • Online ISBN: 978-0-85729-024-3

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics