Ontological Reasoning Model Based on Bayesian Network
Bayesian network theory is introduced into OWL semantics to allow probabilistic information to be represented via additional markups, because of its great advantages in uncertainty reasoning. Then, the Bayesian ontology of quality safety of consumer goods is constructed, as well as its reasoning model based on Bayesian network. In the end, an experiment is conducted to verify our proposed approach. The experimental result shows that quality defect is the primary key factor causing the quality safety accidents of consumer goods.
Ontology OWL Bayesian network Uncertainty reasoning Web mining
Xiao Hu Shouhui Pan
Library, Beijing University of Aeronautics and Astronautics, Beijing 100191, China School of Economics and Management, Beijing University of Aeronautics and Astronautics, Beijing 1001
国际会议
International Forum of Knowledge as a Service(2010知识服务国际论坛)
厦门
英文
136-139
2010-04-12(万方平台首次上网日期,不代表论文的发表时间)