基于可信度本体模型及不确定性推理的情境感知应用

为增强本体对不确定性知识的表示与推理支持，将可信度方法与本体模型相结合，提出了一种基于可信度的本体建模与不确定性推理方法，根据证据源的可靠性修正知识的可信度值，并通过改进结论不确定性合成方法，使推理结果更加符合客观实际. 家庭远程健康监护系统的应用实例分析表明该方法是可行、有效的. 

Context-Aware Applications Based on Ontology Model with Certainty Factor and Uncertain Reasoning

In order to enhance the support for uncertain knowledge representation and reasoning, an ontology modeling approach based on certainty factor was proposed, by combining the certainty factor with ontology model. An uncertain reasoning method based on certainty factor modification was given, which modifies the certainty factors of knowledge according to evidence reliability, and makes the reasoning results more consistent with the real world by improving the synthesization of conclusion uncertainty. Case study about a home health telemonitoring application shows that the proposed approach is feasible and efficient.