Structural group auditing of a UMLS semantic type's extent
Structural group auditing of a UMLS semantic type's extent
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DOI：
10.1016/j.jbi.2008.06.001
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发表时间：
2009-02-01
影响因子：
4.5
通讯作者：
Halper, Michael
中科院分区：
文献类型：
--
作者：
Chen, Yan;Gu, Huanying (Helen);Halper, Michael
每个UMLS概念被分配一个或多个来自语义网络的语义类型（ST）。由于UMLS的规模和复杂性，错误是不可避免的。我们提出了两种审计方法的语义相似的概念组。简单的过程开始于ST的范围，这是一组分配给ST的所有概念。我们将范围划分为被分配了完全相同的ST集合的概念组。算法发现可疑概念的子组。人类审计员被呈现这些子组，据称它们表现出相同的语义，因此她将注意到具有错误或缺失ST分配的不同概念。动态过程检测在审计过程中变得可疑的概念。这两个过程都适用于两种语义类型。结果进行了比较，一个全面的人工审计，并显示出非常高的错误召回率，更高的精度。(C)2008年爱思唯尔公司All rights reserved.
Each UMLS concept is assigned one or more of the semantic types (STs) from the Semantic Network. Due to the size and complexity of the UMLS, errors are unavoidable. We present two auditing methodologies for groups of semantically similar concepts. The straightforward procedure starts with the extent of an ST, which is the group of all concepts assigned this ST. We divide the extent into groups of concepts that have been assigned exactly the same set of STs. An algorithm finds subgroups of suspicious concepts. The human auditor is presented with these subgroups, which purportedly exhibit the same semantics, and thus she will notice different concepts with wrong or missing ST assignments. The dynamic procedure detects concepts which become suspicious in the course of the auditing process. Both procedures are applied to two semantic types. The results are compared with a comprehensive manual audit and show a very high error recall with a much higher precision. (C) 2008 Elsevier Inc. All rights reserved.