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.
Chapter PDF
Similar content being viewed by others
References
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)
Nonaka, I., Takeuchi, H.: The knowledge-Creating Company: How Japanese Companies Create the Dynamics of Innovation. Oxford University Press (1995)
Easterby-Smith, M., Lyles, M.A.: Handbook of Organizational Learning and Knowledge Management. Wiley.com (2011)
Gerhard, P., Beitz, W.: Engineering Design: a Systematic Approach. Springer, London (1996)
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
Conklin, J.E., Begeman, M.L.: IBIS: A Hypertext Tool for exploratory Policy Discussion. ACM Transactions on Office Informations Systems 6, 303–331 (1998)
Richard, J.F.: Les activités mentales, Comprendre, raisonner, trouver des solutions. Armand Colin, Paris (1990)
Fayyad, U., Piatetsky-Shapiro, G., Smyth, P.: From data mining to knowledge discovery in databases. AI magazine 17(3), 37 (1996)
Sowa, J.: Knowledge representation: logical, philosophical, and computational foundations. Brooks/Cole, Pacific Grove (2000)
Gruber, T.: Toward principles for the design of ontologies used for knowledge sharing? International Journal of Human-Computer Studies 43(5), 907–928 (1995)
Cohen, H., Lefebvre, C. (eds.): Handbook of categorization in cognitive science, vol. 4(9.1). Elsevier, Amsterdam (2005)
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)
Mai, J.: Classification in context: relativity, reality, and representation. Knowledge Organization 31(1), 39–48 (2004)
Bekhti, S., Matta, N.: Project memory: An approach of modelling and reusing the context and the design rationale. Proceedings of IJCAI 3 (2003)
Moran, T.P., Carroll, J.M. (eds.): Design rationale: concepts, techniques, and use, Routledge, US (1996)
Domingos, P.: A few useful things to know about machine learning. Communications of the ACM 55(10), 78–87 (2012)
Michie, D., Spiegelhalter, D.J., Taylor, C.: Machine learning, neural and statistical classification (1994)
Dietterich, T.G.: Machine-learning research. AI magazine 18(4), 97 (1997)
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)
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)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2014 IFIP International Federation for Information Processing
About this paper
Cite this paper
Dai, X., Matta, N., Ducellier, G. (2014). Knowledge Discovery in Collaborative Design Projects. In: Grabot, B., Vallespir, B., Gomes, S., Bouras, A., Kiritsis, D. (eds) Advances in Production Management Systems. Innovative and Knowledge-Based Production Management in a Global-Local World. APMS 2014. IFIP Advances in Information and Communication Technology, vol 438. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-44739-0_15
Download citation
DOI: https://doi.org/10.1007/978-3-662-44739-0_15
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-662-44738-3
Online ISBN: 978-3-662-44739-0
eBook Packages: Computer ScienceComputer Science (R0)