基于贝叶斯网络的本体不确定性推理

Research of ontology uncertainty reasoning based on Bayesian network

运用OWL语言扩展了本体对领域知识的不确定性表示,并基于贝叶斯网络实现了本体领域知识的不确定性推理。实验表明将贝叶斯网络与本体结合起来,能够充分发挥本体在知识描述方面的优势和贝叶斯网络的推理能力,实现依据部分信息的概率描述获取知识,指导实践。

This paper adopted OWL to extend the uncertainty representation in domain ontology and support uncertainty reasoning by Bayesian network. The experiment shows that Bayesian network together with ontology can preserve the advantages of both, for ontology has power of knowledge presenting and Bayesian network provides ability of reasoning. It can obtain knowledge from partial probabilistic-described information and instruct practice.