基于本体的智能临床路径知识库构建研究

目的:利用语义逻辑的优点,构建基于本体的可推理临床路径知识库,进一步优化临床路径电子化,智能化实现患者的个性化诊疗。方法:首先结合临床路径的数据源,研究临床路径的知识表达,然后采用Protege小体编辑工具进行本体构建,再利用SWRL规则语言编写相关规则,最后进行实验性推理实现。结论:临床路径知识库建设是临床路径电子化应用的核心,通过构建临床路径知识库可以提高患者的诊疗质量和临床数据的利用率。

基于Ontology的企业信息系统建模研究

借助本体编辑工具Protégé和本体描述语言OWL,利用骨架法建立了信息系统的领域本体库,并借助Jena的推理功能实现了本体库的动态可扩展性,解决了企业信息系统中的语义异构问题。

Reasoning with Ontology Model Based on Jena

As the core of knowledge representation, reasoning plays an important role in the Semantic Web. In this paper, introduce Description Logic as the theoretical foundation of reasoning in the Semantic Web and OWL which needs to be expressive enough for representing knowledge and computationally tractable for inference of large-scale applications. Then construct an ontology model depicted with OWL by protégéand Jena API , and also prove the validity of reasoning with the model.