From SNOMED CT to Uberon: Transferability of evaluation methodology between similarly structured ontologies
作者：
Highlights：
• A generalization of a disjoint partial-area taxonomy methodology between similarly structured ontologies.
• The methodology effectively identifies areas in Uberon that produce higher yield for retrospective review.
• First demonstration of the applicability of the methodology across ontologies with similar characteristics.
• Overall, Uberon exhibits a relatively low rate of issues.
• Disjoint partial-areas and semantic complexity indicators can reduce resource demand when conducting retrospective reviews of content.
摘要
•A generalization of a disjoint partial-area taxonomy methodology between similarly structured ontologies.•The methodology effectively identifies areas in Uberon that produce higher yield for retrospective review.•First demonstration of the applicability of the methodology across ontologies with similar characteristics.•Overall, Uberon exhibits a relatively low rate of issues.•Disjoint partial-areas and semantic complexity indicators can reduce resource demand when conducting retrospective reviews of content.
论文关键词：Anatomy ontology,Quality assurance,Semantic complexity,Disjoint abstraction network,Overlapping concepts
论文评审过程：Received 13 September 2016, Revised 3 May 2017, Accepted 4 May 2017, Available online 19 May 2017, Version of Record 12 August 2017.
论文官网地址：https://doi.org/10.1016/j.artmed.2017.05.002
