知识体系互操作中贝叶斯学习方法应用研究

Application Research of Bayesian Learning Methods in Knowledge System Interoperating Process

针对知识体系间的多样性和互不兼容性问题,引入机器学习模式匹配方法中朴素贝叶斯最优化理论,通过两种分类体系之间的映射匹配实验,有效提高了知识组织与互操作的自动映射能力和准确率。

As to diversity and mutual compatibility problems between knowledge systems, we introduce a naive bayesian optimization the ory of machine learning pattern matching method. Within the experiment of mapping matching in two knowledge systems, the method im proves automatic mapping ability and accuracy within the interoperating process.