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A diabetes diagnostic domain ontology for CBR system from the conceptual model of SNOMED CT

机译:基于SNOMED CT概念模型的CBR系统的糖尿病诊断领域本体

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Domain ontology or background knowledge facilitates the implementation of knowledge intensive case based reasoning systems. Based on the conceptual model of SNOMED CT, this research will propose a methodology for building ontology for diabetes concepts based on most recent diabetes clinical guidelines. All concepts, descriptions and relationships related to diabetes mellitus diagnosis including laboratory tests will be collected from SNOMED CT standard terminology. The resulting subset will be converted into OWL ontology. The resulting ontology can be used in case based reasoning system for semantic retrieval and other tasks.
机译:领域本体或背景知识有助于实现基于知识的案例推理系统。基于SNOMED CT的概念模型,本研究将基于最新的糖尿病临床指南,提出一种建立糖尿病概念本体的方法。与糖尿病诊断有关的所有概念,描述和关系,包括实验室检查,都将从SNOMED CT标准术语中收集。结果子集将转换为OWL本体。所得的本体可以在基于案例的推理系统中用于语义检索和其他任务。

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