| IJncertainty Modeling Based on Bayesian Metwork in Ontology Mapping |
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| 作者姓名： | LI Yuhua LIU Tao SUN Xiaolin |
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| 作者单位： | College of Computer Science and Technology, HuazhongUniversity of Science and Technology, Wuhan 430074,Hubei, China |
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| 基金项目： | Supported by the National Natural Science Foundation of China （60403027） |
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| 摘 要： | How to deal with uncertainty is crucial in exact concept mapping between ontologies. This paper presents a new framework on modeling uncertainty in ontologies based on bayesian networks （BN）. In our approach, ontology Web language （OWL） is extended to add probabilistie markups for attaching probability information, the source and target ontol ogies （expressed by patulous OWL） are translated into hayesian networks （BNs）, the mapping between the two ontologies can be digged out by constructing the conditional probability tables （CPTs） of the BN using a improved algorithm named I-IPFP based on iterative proportional fitting procedure （IPFP）. The basic idea of this framework and algorithm are validated by positive results from computer experiments.
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| 关 键 词： | 贝叶斯网络 条件概率 CPT I-IPFP 可靠性 |
| 文章编号： | 1007-1202（2006）05-1132-05 |
| 收稿时间： | 2006-03-15 |
IJncertainty Modeling Based on Bayesian Metwork in Ontology Mapping |
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| LI Yuhua LIU Tao SUN Xiaolin.IJncertainty Modeling Based on Bayesian Metwork in Ontology Mapping[J].Wuhan University Journal of Natural Sciences,2006,11(5):1132-1136. |
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