Knowledge Modeling of Product Data Based on Fuzzy Ontology

摘要：

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.

关键词： Knowledge modeling Product data Ontology Fuzzy ontology the Semantic Web

作者: Jun Zhai Jianfeng Li Yan Chen

作者单位: School of Management, Dalian Maritime University, Dalian 116026 China

会议类型: 国际会议

会议名称: 2010 International Conference on Advanced Mechanical Engineering(2010年先进机械工程国际学术会议 AME 2010)

会议地点: 洛阳

会议语种:英文

页码: 347-351

在线出版日期: 2010-09-04（万方平台首次上网日期，不代表论文的发表时间）