Modeling Multi-typed Structurally Viewed Chemicals with the UMLS Refined Semantic Network
Modeling Multi-typed Structurally Viewed Chemicals with the UMLS Refined Semantic Network
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DOI：
10.1197/jamia.m2604
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发表时间：
2009-01-01
影响因子：
6.4
通讯作者：
Perl, Yehoshua
中科院分区：
文献类型：
--
作者：
Chen, Ling;Morrey, C. Paul;Perl, Yehoshua
目的：在统一医学语言系统（UMLS）中，化学概念被赋予多个“化学结构”语义类型（ST），从而导致解释不明确。多重赋值可以表示这样的事实，即特定表示的化学品（组合）是通过不同类型的化学品的化学反应衍生的缀合物，或者是由这些化学品的混合物组成的复合物。先前引入的精炼语义网络（RSN）修改，以正确地模拟这些不同的多类型的化学combinations.Design：RSN先前被引入作为UMLS的概念的增强抽象。它具有新的类型，称为交集语义类型（IST），每个类型都明确地捕获一个抽象单元中ST赋值的唯一组合。RSN的不同“化学结构”IST的模糊IST被两种新类型所取代，称为共轭类型和复合类型，它们明确表示化学相互作用的性质。附加的语义关系有助于进一步细化RSN的新部分，该部分植根于ST“化学结构上看"。“测量：结果：改进的RSN包含35种新的共轭型和复合型，其中包含22种新的共轭型和复合型。共有800（约98%）的化学概念，代表多类型的化学组合，从“化学结构看”ST的唯一指定的新类型之一。一个额外的好处是识别一些非法的IST和ST分配错误，其中一些是直接违反排除规则定义的UMLS语义network.Conclusion：修改后的RSN提供了一个增强的抽象视图的UMLS的化学内容。它的共轭和复杂类型的数组提供了一个更准确的模型，涉及化学品的各种组合结构。这一框架将有助于简化此类化学概念的类型分配过程，并提高用户对UMLS化学内容丰富性的认识。
Objective: Chemical concepts assigned multiple "Chemical Viewed Structurally" semantic types (STs) in the Unified Medical Language System (UMLS) are subject to ambiguous interpretation. The multiple assignments may denote the fact that a specific represented chemical (combination) is a conjugate, derived via a chemical reaction of chemicals of the different types, or a complex, composed of a mixture of such chemicals. The previously introduced Refined Semantic Network (RSN) is modified to properly model these varied multi-typed chemical combinations.Design: The RSN was previously introduced as an enhanced abstraction of the UMLS's concepts. It features new types, called intersection semantic types (ISTs), each of which explicitly captures a unique combination of ST assignments in one abstract unit. The ambiguous ISTs of different "Chemical Viewed Structurally" ISTs of the RSN are replaced with two varieties of new types, called conjugate types and complex types, which explicitly denote the nature of the chemical interactions. Additional semantic relationships help further refine that new portion of the RSN rooted at the ST "Chemical Viewed Structurally."Measurements: The number of new conjugate and complex types and the amount of changes to the type assignment of chemical concepts are presented.Results: The modified RSN, consisting of 35 types and featuring 22 new conjugate and complex types, is presented. A total of 800 (about 98%) chemical concepts representing multi-typed chemical combinations from "Chemical Viewed Structurally" STs are uniquely assigned one of the new types. An additional benefit is the identification of a number of illegal ISTs and ST assignment errors, some of which are direct violations of exclusion rules defined by the UMLS Semantic Network.Conclusion: The modified RSN provides an enhanced abstract view of the UMLS's chemical content. Its array of conjugate and complex types provides a more accurate model of the variety of combinations involving chemicals viewed structurally. This framework will help streamline the process of type assignments for such chemical concepts and improve user orientation to the richness of the chemical content of the UMLS.