Ontology Enabling Information and Knowledge Modeling for Product Design

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Abstract:

Product design and development becomes increasingly knowledge-intensive and collaborative. It is very difficult to meet currently imperious needs for the traditional design mode, knowledge managing methods and the geometry-centric application tool. Designers require more generic knowledge of design and design process and more intelligent system. It establishes the FBPSS framework system supporting modeling of product function, behavior, principle, state and structure. Based on this FBPSS framework system, ontology-based product design system is developed through design knowledge repositories.

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Advanced Materials Research (Volumes 945-949)

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446-449

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June 2014

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© 2014 Trans Tech Publications Ltd. All Rights Reserved

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[1] Shah J. J., D. K. Jeon, and S. D. Urban, et al., Database Infrastructure for Supporting Engineering Design Histories, Computer-Aided Design, 28(5), 1996: 347-360.

DOI: 10.1016/0010-4485(95)00054-2

Google Scholar

[2] B. Eynard, T. Gallet, and P. Nowak, et al., UML Based Specification of PDM Product Structure and Workflow, Computer In Industry, 55(3), 2004: 301-316.

DOI: 10.1016/j.compind.2004.08.006

Google Scholar

[3] B. Chandrasekaran, A. K. Geol and Y. Iwasaki, Functional Representation as Design Rationale, IEEE Computer, 26(1), 1993: 48-56.

DOI: 10.1109/2.179157

Google Scholar

[4] J. S. Gero, U. Kannengiesser, The Situated Function-Behaviour-Structure Framework, Design Studies, 25(4), 2004: 373-391.

DOI: 10.1016/j.destud.2003.10.010

Google Scholar

[5] S. Szykman, R. D. Sriram, C. Bochenek, et al., The NIST Design Repository Project, Advances in Soft Computing-Engineering Design and Manufacturing, Springer-Verlag, London, 1999: 5-19.

DOI: 10.1007/978-1-4471-0819-1_2

Google Scholar

[6] S. J. Fenves, A Core Product Model for Representing Design Information, NISTIR 6736, NIST, Gaithersburg, MD, (2001).

Google Scholar

[7] J. S. Gero, Design Prototype: A Knowledge Representation Schema for Design, AI Magazine, 11(4), 1990: 26-36.

Google Scholar

[8] Y. Umeda, H. Takeda, T. Tomiyama, et al., Function, Behavior and Structure, Application of Artificial Intelligence in Engineering, V, Computational Mechanics Publications and Springer-Verlag, 1990: 177-193.

Google Scholar

[9] Gruber T. R., A Translation Approach to Portable Ontology Specifications, Knowledge Acquisition, 5(2), 1993: 199-220.

DOI: 10.1006/knac.1993.1008

Google Scholar

[10] Mizoguchi R., Kittamura Y., Foundation of Knowledge Systematization: Role of Ontological Engineering, Industrial Knowledge Management-A Micro Level Approach, Rajkumar Roy Ed., Springer-Verlag, London, 2000: 17-36.

DOI: 10.1007/978-1-4471-0351-6_2

Google Scholar