Semantic Interoperability Requirements for Manufacturing Knowledge Sharing

  • N. Chungoora
  • R. I. M. Young


Nowadays, sophisticated Computer Aided Engineering applications are used to support concurrent and cross-enterprise product design and manufacture. However, at present, problems are still encountered whenever manufacturing information and knowledge have to be communicated and shared in computational form. One of the most prominent of these problems is concerned with semantic mismatches, which impinge onto achieving seamless manufacturing interoperability. In this paper, the possible configuration of frameworks to capture semantically enriched manufacturing knowledge for manufacturing interoperability is being discussed. Ontology-driven semantic frameworks, based on explicit definitions of manufacturing terminology and knowledge relationships, offer an attractive approach to solving manufacturing interoperability issues. The work described in this paper defines Hole Feature ontological models in order to identify and capture preliminary semantic requirements by considering different contexts in which hole features can be described.


interoperability semantics manufacturing knowledge sharing 


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. [1]
    Ray SR, Jones AT, (2003) Manufacturing interoperability. Concurrent Engineering, Enhanced Interoperable Systems. Proceedings of the 10th ISPE International Conference, Madeira Island, Portugal: 535–540Google Scholar
  2. [2]
    National Institute of Standards and Technology, (1999) Interoperability cost analysis of the U.S. automotive supply chain. Scholar
  3. [3]
    Brunnermeier SB, Martin SA, (2002) Interoperability costs in U.S. automotive supply chain. Supply Chain Management: an International Journal 7(2): 71–82CrossRefGoogle Scholar
  4. [4]
    Das B, Cutting-Decelle AF, Young RIM, Case K, Rahimifard S, Anumba CJ, Bouchlaghem N, (2007) Towards the understanding of the requirements of a communication language to support process interoperation in cross-disciplinary supply chains. International Journal of Computer Integrated Manufacturing 20(4): 396–410CrossRefGoogle Scholar
  5. [5]
    Pouchard L, Ivezic N, Schlenoff C, (2000) Ontology engineering for distributed collaboration in manufacturing. AIS2000 Conference. Scholar
  6. [6]
    Prawel D, (2003) Interoperability best practices: advice from the real world. TCT 2003 Conference organised by Rapid News and Time Compression Technologies, NEC, UKGoogle Scholar
  7. [7]
    Liu S, (2004) Manufacturing information and knowledge models to support global manufacturing coordination. PhD Thesis, Loughborough University, Loughborough, UKGoogle Scholar
  8. [8]
    Cutting-Decelle AF, Das BP, Young RIM, Case K, Rahimifard S, Anumba CJ, Bouchlaghem NM, (2006) Building supply chain communication systems: a review of methods and techniques. Data Science Journal 5: 26–51CrossRefGoogle Scholar
  9. [9]
    Aifaoui N, Deneux D, Soenen R, (2006) Feature-based interoperability between design and analysis processes. Journal of Intelligent Manufacturing 17: 13–27CrossRefGoogle Scholar
  10. [10]
    Young RIM, Gunendran AG, Cutting-Decelle AF, Gruninger M, (2007) Manufacturing knowledge sharing in PLM: a progression towards the use of heavy weight ontologies. International Journal of Production Research 45(7): 1505–1519CrossRefGoogle Scholar
  11. [11]
    Gunendran AG, Young RIM, Cutting-Decelle AF, Bourey JP, (2007) Organising manufacturing information for engineering interoperability. Interoperability for Enterprise Software and Applications Conference, Madeira Island, PortugalGoogle Scholar
  12. [12]
    Costa CA, Young RIM, (2001) Product range models supporting design knowledge reuse. IMechE Part B Journal of Engineering Manufacture 215(3): 323–337CrossRefGoogle Scholar
  13. [13]
    Molina A, Ellis TIA, Young RIM, Bell R, (1995) Modelling manufacturing capability to support concurrent engineering. Concurrent Engineering Research and Applications 3(1): 29–42Google Scholar
  14. [14]
    Sudarsan R, Fenves SJ, Sriram RD, Wang F, (2005) A product information modelling framework for product lifecycle management. Computer Aided Design 37: 1399–1411CrossRefGoogle Scholar
  15. [15]
    Liu S, Young RIM, (2004) Utilizing information and knowledge models to support global manufacturing co-ordination decisions. International Journal of Computer Integrated Manufacturing 17(4): 479–492Google Scholar
  16. [16]
    Liening A, Blount GN, (1998) Influences of KBE on the aircraft brake industry. Aircraft Engineering and Aerospace Technology 70(6): 439–444CrossRefGoogle Scholar
  17. [17]
    Kochan A, (1999) Jaguar uses knowledge-based tools to reduce model development times. Assembly Automation 19(2): 114–117CrossRefGoogle Scholar
  18. [18]
    Feng SC, Song EY, (2003) A manufacturing process information model for design and process planning integration. Journal of Manufacturing Systems 22(1): 1–16Google Scholar
  19. [19]
    Chandra C, Kamrani AK, (2003) Knowledge management for consumer-focused product design. Journal of Intelligent Manufacturing 14: 557–580CrossRefGoogle Scholar
  20. [20]
    Lin HK, Harding JA, (2007) A manufacturing engineering ontology model on the semantic web for inter-enterprise collaboration. Computers in Industry 58(5): 428–437CrossRefGoogle Scholar
  21. [21]
    Costa CA, Salvador VL, Meira LM, Rechden GF, Koliver C, (2007) Product ontology supporting information exchanging in global furniture industry: 278–280. In: Goncalves RJ et al. (eds.) Enterprise interoperability II: new challenges and approaches, Springer-Verlag London Limited, London, UKGoogle Scholar
  22. [22]
    Otto HE, (2001) From concepts to consistent object specifications: translation of a domain-oriented feature framework into practice. Journal of Computer Science and Technology 16(3): 208–230zbMATHCrossRefGoogle Scholar
  23. [23]
    Brimson J, Downey PJ, (1986) Feature technology: a key to manufacturing integration. Computer Integrated Manufacture reviewGoogle Scholar

Copyright information

© Springer-Verlag London Limited 2008

Authors and Affiliations

  • N. Chungoora
    • 1
  • R. I. M. Young
    • 1
  1. 1.Wolfson School of Mechanical and Manufacturing EngineeringLoughborough UniversityLoughboroughUK

Personalised recommendations