Knowledge Modeling of Product Data Based on Fuzzy Ontology

Abstract:

Article Preview

Ontology is the basis of knowledge modeling on the Semantic Web, and fuzzy ontology is an extension of domain ontology for solving the uncertainty problems. Ontology-base knowledge modeling of product data management (PDM) is meaningful for product design and trade etc. In order to handle fuzzy phenomenon and uncertainty of product knowledge, this paper proposes a series of fuzzy ontology models that consists of fuzzy domain ontology and fuzzy linguistic variable ontologies. Then, a fuzzy ontology framework is presented, including three parts: concepts, properties of concepts and values of properties. The application, which uses fuzzy ontology to model product knowledge, shows that these models can overcome the localization of other fuzzy ontology models, and this research facilitates the fuzzy knowledge sharing and reuse for PDM on the Semantic Web.

Info:

Periodical:

Edited by:

Zhenyu Du and Bin Liu

Pages:

347-351

DOI:

10.4028/www.scientific.net/AMM.26-28.347

Citation:

J. Zhai et al., "Knowledge Modeling of Product Data Based on Fuzzy Ontology", Applied Mechanics and Materials, Vols. 26-28, pp. 347-351, 2010

Online since:

June 2010

Export:

Price:

$38.00

[1] Y. J. Hu, S. P. Li, and M. Guo: Ontology-based Product Knowledge Representation. Journal of Computer Aided Design & Computer Graphics, Vol. 15, No. 12 (2003), pp.1531-1537 (in Chinese).

[2] J. X. Zhao, Z. M. Zhang, and X. T. Tian et al.: Ontology & its Applications in Mechanical Engineering. Computer Integrated Manufacturing Systems, Vol. 13, No. 4 (2007), pp.727-737 (in Chinese).

[3] T. Lee, I. Lee, S. Lee et al.: Building an Operational Product Ontology System. Electronic Commerce Research and Applications, Vol. 5 (2006), pp.16-28.

[4] S. F. Wang, X. J. Gu, J. F. Guo, and J. Ma: Research and Application of Ontology Modeling for Product Design Based on Case Reasoning. Chinese Journal of Mechanical Engineering, Vol. 43, No. 3 (2007), pp.112-117 (in Chinese).

DOI: 10.3901/jme.2007.03.112

[5] L. Chen, X. Z. Ye, and X. Pan et al: Ontology-based Semantic Interoperability of Product Data. Computer Integrated Manufacturing Systems, Vol. 14, No. 4 (2008), pp.821-828 (in Chinese).

[6] Q. Feng, Y. Ren, and S. K. Zeng et al: Ontology-based Multi-view Modeling for Integrated Product Development. Computer Integrated Manufacturing Systems, Vol. 15, No. 4 (2009), pp.633-638 (in Chinese).

[7] Q. T. Tho, S. C. Hui, A. C. M. Fong, and T. H. Cao: Automatic Fuzzy Ontology Generation for Semantic Web. IEEE Transactions on Knowledge and Data Engineering, Vol. 18, No. 6 (2006), pp.842-856.

DOI: 10.1109/tkde.2006.87

[8] D. Z. Kang, B. W. Xu, and J. J. Lu: Description Logics for Fuzzy Ontologies on Semantic Web. Journal of Southeast University (English Edition), Vol. 22, No. 3 (2006), pp.343-347.

[9] Raymond Y.K. Lau. Fuzzy Domain Ontology Discovery for Business Knowledge Management. IEEE Intelligent Informatics Bulletin, Vol. 8, No. 1(2007), pp.29-41.

[10] J. Zhai, Y. D. Liang, and Y. Yu: Semantic Information Retrieval Based on Fuzzy Ontology for Electronic Commerce. Journal of Software, Vol. 3, No. 9 (2008), pp.20-27.

DOI: 10.4304/jsw.3.9.20-27

[11] W3C, Resource description framework (RDF): concepts and abstract syntax, in: G. Klyne, J.J. Carroll, B. McBride (Eds. ), W3C Recommendation, 10, February 2004. .

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