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Medical Ontologies as a Knowledge Repository

机译:医学本体作为知识库

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摘要

We analyzed existing medical ontologies from a view point of academic domain ontology research and suggest future directions of medical knowledge repository systems. Academic domain ontology is a form of knowledge repository system which enables both human and machine agents to store, systematize and utilize the most complex accumulation of knowledge resources. From our previous attempts to construct academic domain ontolotgies, we focus on the following three aspects of knowledge repository and apply them to an analysis of medical ontologies. (1) Local nature of knowledge whose range extends from private level to public level is an essential feature of academic knowledge. Proper knowledge repository system needs to support the feature. (2) Collective acquisition of knowledge could help the knowledge repository construction in great degree. Human experts could participate in a collection of knowledge with a distributed input manner. (3) Usable knowledge repository needs to provide relational knowledge between pieces of knowledge (communality and differentiation between them), and meta knowledge about a piece of knowledge (how to use it). Citing examples from medical ontologies such as UMLS, SNOMED, GALEN and MEDIS, we argue the principles for academic medical domain ontology for medical communications.
机译:我们从学术领域本体研究的角度分析了现有的医学本体,并提出了医学知识存储系统的未来方向。学术领域本体是知识存储系统的一种形式,它使人和机器代理都可以存储,系统化和利用最复杂的知识资源。从我们先前构建学术领域本体论的尝试开始,我们将重点放在知识存储库的以下三个方面,并将它们应用于医学本体论的分析。 (1)知识的地方性,其范围从私人级别扩展到公共级别,是学术知识的基本特征。适当的知识库系统需要支持该功能。 (2)知识的集体获取可以在很大程度上帮助知识库的建设。人类专家可以通过分布式输入方式参与知识的收集。 (3)可用的知识库需要提供知识之间的关系知识(它们之间的公共性和区分性),以及关于知识的元知识(如何使用它)。引用来自诸如UMLS,SNOMED,GALEN和MEDIS等医学本体的例子,我们争论了医学领域中用于医学交流的本体论原理。

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