Ontology-Based Error Detection in SNOMED-CT®
Ontology-Based Error Detection in SNOMED-CT®
复制标题
SNOMED-CT® 中基于本体的错误检测
DOI：
10.3233/978-1-60750-949-3-482
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发表时间：
2004
影响因子：
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通讯作者：
Christoffel Dhaen
中科院分区：
文献类型：
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作者：
W. Ceusters;Barry Smith;Anand Kumar;Christoffel Dhaen
大型术语的质量保证是一个难题。我们提出了两种算法，可以帮助术语开发人员和用户，以确定潜在的改进领域。我们通过将算法应用于最流行的术语之一SNOMED-CT来演示该方法。对结果的分析为本文提供了证据，即在大型术语的开发和质量保证过程中，应该同时使用形式逻辑和语言学工具。
Quality assurance in large terminologies is a difficult issue. We present two algorithms that can help terminology developers and users to identify potential areas of improvement. We demonstrate the methodology by applying the algorithms to one of the most popular terminologies, SNOMED-CT. Analysis of the results provides evidence for the thesis that both formal logical and linguistic tools should be used in the development and quality-assurance process of large terminologies.