[1] Ye Yan, Yang Dong, Jiang Zhibin, et al. Configuration knowledge modeling of customizable productsbased on semantic web technologies [J]. Journal of Southeast University (English Edition), 2006, 22 (3): 418-422. [doi:10.3969/j.issn.1003-7985.2006.03.027]

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Configuration knowledge modeling of customizable productsbased on semantic web technologies()

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Journal of Southeast University (English Edition)[ISSN:1003-7985/CN:32-1325/N]

Volumn:

22

Issue:

2006 3

Page:

418-422

Research Field:

Automation

Publishing date:

2006-09-30

Info

Title:

Configuration knowledge modeling of customizable productsbased on semantic web technologies

Author(s):

Ye Yan¹;  2;  Yang Dong¹;  Jiang Zhibin¹

¹ Department of Industrial Engineering and Management, Shanghai Jiaotong University, Shanghai 200240, China
² College of Mechanical Engineering, Zhejiang University of Technology, Hangzhou 310032, China

Keywords:

knowledge modeling;  semantic web technology;  product configuration;  mass customization

PACS:

TP18;TH16

DOI:

10.3969/j.issn.1003-7985.2006.03.027

Abstract:

In order to solve the problem of modeling product configuration knowledge at the semantic level to successfully implement the mass customization strategy, an approach of ontology-based configuration knowledge modeling, combining semantic web technologies, was proposed.A general configuration ontology was developed to provide a common concept structure for modeling configuration knowledge and rules of specific product domains.The OWL web ontology language and semantic web rule language(SWRL)were used to formally represent the configuration ontology, domain configuration knowledge and rules to enhance the consistency, maintainability and reusability of all the configuration knowledge.The configuration knowledge modeling of a customizable personal computer family shows that the approach can provide explicit, computer-understandable knowledge semantics for specific product configuration domains and can efficiently support automatic configuration tasks of complex products.

References:

[1] Barker V, O’Connor D.Expert systems for configuration at digital:XCON and beyond [J].Communications of the ACM, 1989, 32(3):298-318.
[2] Felfernig A, Friedrich G, Jannach D.Conceptual modeling for configuration of mass-customizable products [J].Artificial Intelligence in Engineering, 2001, 15(2):165-176.
[3] Ong S K, Lin Q, Nee A Y C.Web-based configuration design system for product customization [J].International Journal of Production Research, 2006, 44(2):351-382.
[4] Antoniou G, van Harmelen F.A semantic web primer [M].Massachusetts:The MIT Press, 2004.1-18.
[5] Smith M K, Welty C, McGuinness D L.OWL web ontology language guide [EB/OL].(2004-02-10)[2006-03-15].http://www.w3.org/TR/owl-guide.
[6] Horrocks I, Patel-Schneider P F, Boley H, et al.SWRL:a semantic web rule language combining OWL and RuleML [EB/OL].(2004-12-21)[2006-03-15].http://www.daml.org/rules/proposal/.
[7] Horridge M, Knublauch H, Rector A, et al.A practical guide to building OWL ontologies with the Protégé-OWL plugin and CO-ODE tools [EB/OL].(2004-08-27)[2006-03-15].http://www.co-ode.org/resources/tutorials/ProtegeOWLTutorial.pdf.
[8] Sintek M.OntoViz tab:visualizing Protégé ontologies [EB/OL].(2005-02-03)[2006-03-15].http://protege.stanford.edu/plugins/ontoviz/ontoviz.html.

Memo

Memo:

Biographies: Ye Yan(1976—), female, graduate;Yang Dong(corresponding author), male, doctor, associate professor, dongyangcn@hotmail.com.

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