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首页> 外文期刊>Artificial intelligence in medicine >A lexical metaschema for the UMLS semantic network
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A lexical metaschema for the UMLS semantic network

机译:UMLS语义网络的词汇元模式

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摘要

Objective: A metaschema is a high-level abstraction network of the UMLS's semantic network (SN) obtained from a partition of the SN's collection of semantic types. Every metaschema has nodes, called meta-semantic types, each of which denotes a group of semantic types constituting a subject area of the SN. A new kind of metaschema, called the lexical metaschema, is derived from a lexical partition of the SN. The lexical metaschema is compared to previously derived metaschemas, e.g., the cohesive metaschema. Design: A new lexical partitioning methodology is presented based on identical word-usage among the names of semantic types and the definitions of their respective children. The lexical metaschema is derived from the application of the methodology. We compare the constituent meta-semantic types and their underlying semantic-type groups with the previously derived cohesive metaschema. A similar comparison of the lexical partition and a published partition of the SN is also carried out. Results: The lexical partition of the SN has 21 semantic-type groups, each of which represents a subject area. The lexical metaschema thus has 21 meta-semantic types, 19 meta-child-of hierarchical relationships, and 86 meta-relationships. Our comparison shows that 15 out of the 21 meta-semantic types in the lexical metaschema also appear in the cohesive metaschema, and 80 semantic types are covered by identical meta-semantic types or refinements between the two metaschemas. The comparison between the lexical partition and the semantic partition shows that they have very low similarity.
机译:目的:元模式是UMLS语义网络(SN)的高级抽象网络,该网络是从SN的语义类型集合的分区中获得的。每个元模式都有称为元语义类型的节点,每个节点表示构成SN主题区域的一组语义类型。从SN的词法分区中派生出一种新型的元模式,称为词汇元模式。将词汇元模式与先前导出的元模式(例如内聚性模式)进行比较。设计:基于语义类型名称及其各自子代的定义中相同的词用法,提出了一种新的词法划分方法。词汇元模式源自该方法的应用。我们将组成的元语义类型及其潜在的语义类型组与先前派生的内聚元模式进行比较。还对SN的词法分区和已发布分区进行了类似的比较。结果:SN的词法分区具有21个语义类型组,每个语义类型组代表一个主题区域。因此,词汇元模式具有21种元语义类型,19种元子级层次关系以及86种元关系。我们的比较表明,词汇元模式中21种元语义类型中的15种也出现在衔接型元模式中,而80种语义类型被相同的元语义类型或两种元模式之间的细化所覆盖。词汇分区和语义分区之间的比较表明,它们的相似度很低。

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