Enhancing the Quality of Hierarchic Relations in the National Cancer Institute Thesaurus to Enable Faceted Query of Cancer Registry Data
Enhancing the Quality of Hierarchic Relations in the National Cancer Institute Thesaurus to Enable Faceted Query of Cancer Registry Data
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DOI：
10.1200/cci.19.00124
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发表时间：
2020-05-06
影响因子：
4.2
通讯作者：
Zhang, Guo-Qiang
中科院分区：
文献类型：
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作者：
Cui, Licong;Abeysinghe, Rashmie;Zhang, Guo-Qiang
目的审计和提高的层次（或是一个）关系的完整性的国家癌症研究所（NCI）主题词表，以支持其作为一个多方面的系统查询癌症登记data.METHODS的角色，我们进行了质量审计的19.01d版本的NCI主题词表。我们的混合审计方法包括三个主要步骤：计算非格子子图，在每个子图中的概念，构造词汇功能，并进行包容推理与每个子图，自动建议潜在的缺失是-a relations.Results共获得9,512个非格子子图。我们的方法确定了925个潜在的失踪是441 nonlattice子图的关系; 72 176个审查样本被确认为有效的失踪是一个关系，并已纳入新版本的NCI Thesaurus.CONCLUSION自动建议的变化，导致我们的审计方法可以提高NCI叙词表的结构组织，支持其新的角色，分面查询。(C)2020年美国临床肿瘤学会。
PURPOSE To audit and improve the completeness of the hierarchic (or is-a) relations of the National Cancer Institute (NCI) Thesaurus to support its role as a faceted system for querying cancer registry data.METHODS We performed quality auditing of the 19.01d version of the NCI Thesaurus. Our hybrid auditing method consisted of three main steps: computing nonlattice subgraphs, constructing lexical features for concepts in each subgraph, and performing subsumption reasoning with each subgraph to automatically suggest potentially missing is-a relations.RESULTS A total of 9,512 nonlattice subgraphs were obtained. Our method identified 925 potentially missing is a relations in 441 nonlattice subgraphs; 72 of 176 reviewed samples were confirmed as valid missing is a relations and have been incorporated in the newer versions of the NCI Thesaurus.CONCLUSION Autosuggested changes resulting from our auditing method can improve the structural organization of the NCI Thesaurus in supporting its new role for faceted query. (C) 2020 by American Society of Clinical Oncology.