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Knowledge Discovery in Collaborative Design Projects

Conference paper
  • 2.4k Downloads
Part of the IFIP Advances in Information and Communication Technology book series (IFIPAICT, volume 438)

Abstract

Design projects have evolved to be collaborative, concurrent and multi-disciplinary. Due to these changes, knowledge management for design projects faces new challenges, in order to represent all the elements in a collaborative design project, it is necessary to consider not only decision-making process, but also its context and interaction with other elements.

Keywords

Knowledge representation design project management classification project memory 

References

  1. 1.
    Matta, N., Ribière, M., Corby, O., Lewkowicz, M., Zacklad, M.: Project Memory in Design, Industrial Knowledge Management - A Micro Level Approach. SPRINGER-VERLAG: RAJKUMAR ROY (2000)Google Scholar
  2. 2.
    Nonaka, I., Takeuchi, H.: The knowledge-Creating Company: How Japanese Companies Create the Dynamics of Innovation. Oxford University Press (1995)Google Scholar
  3. 3.
    Easterby-Smith, M., Lyles, M.A.: Handbook of Organizational Learning and Knowledge Management. Wiley.com (2011)Google Scholar
  4. 4.
    Gerhard, P., Beitz, W.: Engineering Design: a Systematic Approach. Springer, London (1996)Google Scholar
  5. 5.
    Buckingham Shum, S.: Representing Hard-to-Formalise, Contextualised, Multidisciplinary, Organisational Knowledge. In: Proceedings of AAI Spring Symposium on Artificial Intelligence in Knowledge Management, pp. 9–16 (1997), http://ksi.cpsc.ucalgary.ca/AIKM97/AIKM97Proc.htm
  6. 6.
    Conklin, J.E., Begeman, M.L.: IBIS: A Hypertext Tool for exploratory Policy Discussion. ACM Transactions on Office Informations Systems 6, 303–331 (1998)CrossRefGoogle Scholar
  7. 7.
    Richard, J.F.: Les activités mentales, Comprendre, raisonner, trouver des solutions. Armand Colin, Paris (1990)Google Scholar
  8. 8.
    Fayyad, U., Piatetsky-Shapiro, G., Smyth, P.: From data mining to knowledge discovery in databases. AI magazine 17(3), 37 (1996)Google Scholar
  9. 9.
    Sowa, J.: Knowledge representation: logical, philosophical, and computational foundations. Brooks/Cole, Pacific Grove (2000)Google Scholar
  10. 10.
    Gruber, T.: Toward principles for the design of ontologies used for knowledge sharing? International Journal of Human-Computer Studies 43(5), 907–928 (1995)CrossRefGoogle Scholar
  11. 11.
    Cohen, H., Lefebvre, C. (eds.): Handbook of categorization in cognitive science, vol. 4(9.1). Elsevier, Amsterdam (2005)Google Scholar
  12. 12.
    Matta, N., Ducellier, G.: An approach to keep track of project knowledge in design. In: Proceeding IC3K/KMIS, 5th International Conference on Knowledge Management and Information Sharing, Vilamoura Algarve, Portugal, September 19-22 (2013)Google Scholar
  13. 13.
    Mai, J.: Classification in context: relativity, reality, and representation. Knowledge Organization 31(1), 39–48 (2004)Google Scholar
  14. 14.
    Bekhti, S., Matta, N.: Project memory: An approach of modelling and reusing the context and the design rationale. Proceedings of IJCAI 3 (2003)Google Scholar
  15. 15.
    Moran, T.P., Carroll, J.M. (eds.): Design rationale: concepts, techniques, and use, Routledge, US (1996)Google Scholar
  16. 16.
    Domingos, P.: A few useful things to know about machine learning. Communications of the ACM 55(10), 78–87 (2012)CrossRefGoogle Scholar
  17. 17.
    Michie, D., Spiegelhalter, D.J., Taylor, C.: Machine learning, neural and statistical classification (1994)Google Scholar
  18. 18.
    Dietterich, T.G.: Machine-learning research. AI magazine 18(4), 97 (1997)Google Scholar
  19. 19.
    King, R.D., Cao, F., Sutherland: Statlog: comparison of classification algorithms on large real-world problems. Applied Artificial Intelligence an International Journal 9(3), 289–333 (1995)CrossRefGoogle Scholar
  20. 20.
    Smyth, P., Goodman, R.M.: An information theoretic approach to rule induction from databases. IEEE Transactions knowledge and Data Engineering 4(4), 301–316 (1992)CrossRefGoogle Scholar

Copyright information

© IFIP International Federation for Information Processing 2014

Authors and Affiliations

  1. 1.Tech-cicoUniversity of Technology of TroyesFrance
  2. 2.LASMISUniversity of Technology of TroyesFrance

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