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An Ontology-Based Collaborative Reasoning Strategy for Multidisciplinary Design in the Semantic Grid

  • Li Zhang
  • Wenyu Zhang
  • Qianzhu Wang
  • Yuzhu Wang
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4402)

Abstract

Aiming at representing and reasoning about multidisciplinary design knowledge explicitly and exchanging it in different design environments, this paper proposes an ontology-based collaborative reasoning strategy for multidisciplinary design in the Semantic Grid. An ontology-based modeling framework is used as the basis, which adopts Web Ontology Language (OWL) to build a domain-specific multidisciplinary design repository, and allows the design agents to visit ontology repository effectively through ontology-based services. On the top of modeling framework we propose a multi-agent collaborative reasoning environment, which utilizes OWL as the content language of FIPA ACL, and supports the ontology-based collaborative reasoning for multidisciplinary design between multiple design agents. This important enhancement facilitates the implementation of Computer Supported Cooperative Work (CSCW) in multidisciplinary design for Semantic Grid applications.

Keywords

Collaborative Design Design Knowledge Computer Support Cooperative Work Design Agent Service Ontology 
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.

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References

  1. 1.
    De Roure, D., Jennings, N.: The Semantic Grid: Past, Present, and Future. Proceedings of the IEEE 93(3), 669–681 (2005)CrossRefGoogle Scholar
  2. 2.
    McGuinness, D.L., Harmelen, F.V.: OWL Web Ontology Language Overview. http://www.w3.org/TR/2004/REC-owl-features-20040210/
  3. 3.
    Foundation for Intelligent Physical Agents. FIPA Specifications. http://www.fipa.org/
  4. 4.
    Toye, G., et al.: SHARE: A Methodology and Environment for Collaborative Product Development. In: Proc. 2nd IEEE Workshop on Enabling Technologies: Infrastructure for Collaborative Enterprises, Morgantown, WV, USA, pp. 33–47 (1993)Google Scholar
  5. 5.
    Case, M.P., Lu, S.C.: Discourse Model for Collaborative Design. Computer-Aided Design 28(5), 333–345 (1996)CrossRefGoogle Scholar
  6. 6.
    Gerhard, J.F., et al.: Towards a decision-based distributed product realization environment for engineering systems. In: Proceedings of the ASME Design Engineering Technical Conference. DETC1999/CIE-9085, Las Vegas (1999)Google Scholar
  7. 7.
    Bohm, M.R., Stone, R.B., Szykman, S.: Enhancing Virtual Product Representations for Advanced Design Repository Systems. In: Proceedings of the ASME Computers and Information in Engineering Conference. DETC2003/CIE-48239, Chicago, IL (2003)Google Scholar
  8. 8.
    Berners-Lee, T., Hendler, J., Lassila, O.: The Semantic Web. Scientific American 284, 34–43 (2001)CrossRefGoogle Scholar
  9. 9.
    Zdraha, Z., et al.: A Toolkit and Methodology to Support the Collaborative Development and Reuse of Engineering Models. In: Mařík, V., Štěpánková, O., Retschitzegger, W. (eds.) DEXA 2003. LNCS, vol. 2736, pp. 856–865. Springer, Heidelberg (2003)Google Scholar
  10. 10.
    Foster, I., Kesselman, C.: The Grid: Blueprint for A New Computing Infrastructure. Morgan Kaufmann, San Francisco (1999)Google Scholar
  11. 11.
    Zhang, K.K., Li, Q.Z.: SWSAIF: A Semantic Application Integration Framework to Support Collaborative Design. In: Shen, W.-m., et al. (eds.) CSCWD 2005. LNCS, vol. 3865, pp. 174–183. Springer, Heidelberg (2006)CrossRefGoogle Scholar
  12. 12.
    Bellifemine, F., Poggi, A., Rimassa, G.: Developing Multi Agent Systems with a FIPA-compliant Agent Framework. Software Practice & Experience 31, 103–128 (2001)zbMATHCrossRefGoogle Scholar
  13. 13.
    Fikes, R., Hayes, P., Horrocks, I.: OWL-QL -— A Language for Deductive Query Answering on the Semantic Web. Knowledge Systems Laboratory, Stanford University, Stanford, CA (2003)Google Scholar
  14. 14.
    Zhang, W.Y., Zhang, L., Xie, Y.: A Service-oriented Modeling Approach for Distributed Management of Multidisciplinary Design Knowledge in the Semantic Grid. In: Wang, L., et al. (eds.) FSKD 2006. LNCS (LNAI), vol. 4223, pp. 631–640. Springer, Heidelberg (2006)CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2007

Authors and Affiliations

  • Li Zhang
    • 1
  • Wenyu Zhang
    • 2
  • Qianzhu Wang
    • 3
  • Yuzhu Wang
    • 1
  1. 1.Department of Logistical Information, Logistical Engineering University, Chongqing 400013China
  2. 2.School of Information, Zhejiang University of Finance and Economics, Hangzhou 310018China
  3. 3.3G Academe, Chongqing University of Posts and Telecommunications, Chongqing 400065China

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