Paper Title:
Knowledge Modeling of Product Data Based on Fuzzy Ontology
  Abstract

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, J. F. Li, Y. Chen, "Knowledge Modeling of Product Data Based on Fuzzy Ontology", Applied Mechanics and Materials, Vols. 26-28, pp. 347-351, 2010
Online since
June 2010
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$32.00
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