Knowledge Representation Method of Product Principle Solution Based on Semantic Network Model


Article Preview

Product design is a problem-solving activity based on knowledge. This paper is devoted to presenting a systematic knowledge representation method of principle solution based on semantic network model. For the expression of product knowledge, the semantic object, constraints and their relationships among the expression of the semantic object network model are proposed step by step. Then the principle solution representation model based on semantic network model is put forwards. The knowledge representation of a car is given as an example, which demonstrates that this method is obviously helpful for knowledge-based design system and product innovation.



Edited by:

Shengyi Li, Yingchun Liu, Rongbo Zhu, Hongguang Li, Wensi Ding






X. Y. Chen and B. He, "Knowledge Representation Method of Product Principle Solution Based on Semantic Network Model", Applied Mechanics and Materials, Vols. 34-35, pp. 1865-1869, 2010

Online since:

October 2010




[1] G. Pahl, W. Beitz : Engineering design: a systematic approach ( Springer, London, 1996).

[2] U. Kannengiesser, J. S. Gero, An ontology of computer-aided design, in Computer-Aided Design Research and Development, edited by C. D. Smet and J. A. Peeters, Nova Science Publishers (2009).

[3] F. E. H. Tay, J. X. Gu: Product modeling for conceptual design support, Computers in Industry, vol. 48, (2002), pp.143-155.

DOI: 10.1016/s0166-3615(02)00014-3

[4] U. Roy, N. Pramanik, R. Sudarsan, et al: Function-to-form mapping: model, representation and applications in design synthesis, Computer-Aided Design, vol. 33, (2000), pp.699-719.

DOI: 10.1016/s0010-4485(00)00100-7

[5] J. S. Gero: Design prototypes: A knowledge representation schema for design, AI Magazine, vol. 11, no. 4, (1990), pp.26-36.

[6] P. Mika: Ontologies are us: a unified model of social networks and semantics. in Proceeding of ISWC 2005, LNCS 3729, edited by Y. Gil et al , pp.522-536.

[7] M. W. Evens: Relational models of the lexicon: representing knowledge in semantic networks, (Cambridge University Press, 2009).

[8] T. Bossomaier, M. Harr, A. Knittel, A. Snyder: A semantic network approach to the creativity quotient, Creativity Research Journal, vol. 21, no. 1, (2009), pp.64-71.

DOI: 10.1080/10400410802633517

[9] P. Niyogi: The computational nature of language learning and evolution; (MIT Press: Cambridge, MA, 2006).

[10] B. Kraft, M. Nagl: Visual knowledge specification for conceptual design: definition and tool support, Advanced Engineering Informatics, vol. 21, (2007), pp.67-83.

DOI: 10.1016/j.aei.2006.10.001

In order to see related information, you need to Login.