Detecting missing IS-A relations in the NCI Thesaurus using an enhanced hybrid approach.
Detecting missing IS-A relations in the NCI Thesaurus using an enhanced hybrid approach.
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DOI：
10.1186/s12911-020-01289-6
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发表时间：
2020-12-15
影响因子：
3.5
通讯作者：
Cui L
中科院分区：
文献类型：
--
作者：
Zheng F;Abeysinghe R;Sioutos N;Whiteman L;Remennik L;Cui L
美国国家癌症研究所（NCI）术语词库为NCI和其他系统提供参考术语。之前，我们提出了一个混合原型，利用非格子图中概念的词汇特征和角色定义来识别NCI词库中缺失的IS-A关系。然而，在我们以前的工作中没有提供领域专家评估。在本文中，我们进一步加强了混合方法，利用一个新的词汇特征根的概念名称中的名词块。我们的增强方法也进行了正式评估。我们首先计算NCI叙词表中的所有非格子子图。我们使用每个概念的角色定义，词和名词组块的概念名称和祖先的名称的根建模。然后对非格子子图中的候选概念对进行包容测试，以自动检测潜在缺失的IS-A关系。领域专家评估了这些关系的有效性。我们将我们的方法应用于19.08d版本的NCI叙词表。共有55个潜在的缺失IS-A的关系，确定了我们的方法和领域专家审查。55个中的29个被领域专家确认为有效，并已被纳入NCI叙词表的新版本。75%的进一步揭示了不正确的NCI叙词表中现有的IS-A关系。结果表明，我们的混合方法，利用词汇特征和角色定义是有效的识别潜在的NCI叙词表中缺失的IS-A关系。
The National Cancer Institute (NCI) Thesaurus provides reference terminology for NCI and other systems. Previously, we proposed a hybrid prototype utilizing lexical features and role definitions of concepts in non-lattice subgraphs to identify missing IS-A relations in the NCI Thesaurus. However, no domain expert evaluation was provided in our previous work. In this paper, we further enhance the hybrid approach by leveraging a novel lexical feature—roots of noun chunks within concept names. Formal evaluation of our enhanced approach is also performed. We first compute all the non-lattice subgraphs in the NCI Thesaurus. We model each concept using its role definitions, words and roots of noun chunks within its concept name and its ancestor’s names. Then we perform subsumption testing for candidate concept pairs in the non-lattice subgraphs to automatically detect potentially missing IS-A relations. Domain experts evaluated the validity of these relations. We applied our approach to 19.08d version of the NCI Thesaurus. A total of 55 potentially missing IS-A relations were identified by our approach and reviewed by domain experts. 29 out of 55 were confirmed as valid by domain experts and have been incorporated in the newer versions of the NCI Thesaurus. 7 out of 55 further revealed incorrect existing IS-A relations in the NCI Thesaurus. The results showed that our hybrid approach by leveraging lexical features and role definitions is effective in identifying potentially missing IS-A relations in the NCI Thesaurus.
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DOI：
10.1093/jamia/ocw175
发表时间：
2017-07-01
期刊：
Journal of the American Medical Informatics Association : JAMIA
影响因子：
--
作者：
Cui L;Zhu W;Tao S;Case JT;Bodenreider O;Zhang GQ
通讯作者：
Zhang GQ
DOI：
10.1109/bigdata.2014.7004301
发表时间：
2014-10
期刊：
Proceedings : ... IEEE International Conference on Big Data. IEEE International Conference on Big Data
影响因子：
--
作者：
Zhang GQ;Zhu W;Sun M;Tao S;Bodenreider O;Cui L
通讯作者：
Cui L
DOI：
10.1136/amiajnl-2014-003151
发表时间：
2015-05-01
影响因子：
6.4
作者：
Ochs, Christopher;Geller, James;Wei, Zhi
通讯作者：
Wei, Zhi
影响因子：
4.5
作者：
Ochs C;He Z;Zheng L;Geller J;Perl Y;Hripcsak G;Musen MA
通讯作者：
Musen MA
DOI：
10.1136/amiajnl-2014-003173
发表时间：
2015-05-01
影响因子：
6.4
作者：
Ochs, Christopher;Geller, James;Hripcsak, George
通讯作者：
Hripcsak, George