Relationship auditing of the FMA ontology.
Relationship auditing of the FMA ontology.
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DOI：
10.1016/j.jbi.2009.01.001
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发表时间：
2009-06
影响因子：
4.5
通讯作者：
Elhanan G
中科院分区：
文献类型：
--
作者：
Gu HH;Wei D;Mejino JL Jr;Elhanan G
解剖学基础模型（FMA）本体论是基于纪律建模方法的领域参考本体。由于其大小，语义复杂性和手动数据输入过程，错误和不一致是不可避免的，并且可能在未检测的情况下保留在FMA结构之内。在本文中，我们提出了可计算方法，以突出显示各种关系分配错误的候选概念。该过程始于定位由传递结构关系形成的结构（part_of，tributary_of，branch_of），并在IS-A层次结构的上下文中检查其分配。该算法旨在检测可能不正确的关系分配的五个主要类别：循环，互斥，多余，不一致和错过的条目。域专家审查了这些推定错误的样本，以确认发现。检测到七千和五十二个推定错误，这是与部分关系分配有关的最大比例。结果强调了一个事实，即在复杂的本体论中不可避免的错误，并且设计良好的算法可以帮助域专家专注于高可能性的概念，并最大程度地提高了他们的努力，以确保一致性和可靠性。将来，类似方法可能与数据输入过程集成在一起，以提供实时错误检测。
The Foundational Model of Anatomy (FMA) ontology is a domain reference ontology based on a disciplined modeling approach. Due to its large size, semantic complexity and manual data entry process, errors and inconsistencies are unavoidable and might remain within the FMA structure without detection. In this paper, we present computable methods to highlight candidate concepts for various relationship assignment errors. The process starts with locating structures formed by transitive structural relationships (part_of, tributary_of, branch_of) and examine their assignments in the context of the IS-A hierarchy. The algorithms were designed to detect five major categories of possible incorrect relationship assignments: circular, mutually exclusive, redundant, inconsistent, and missed entries. A domain expert reviewed samples of these presumptive errors to confirm the findings. Seven thousand and fifty-two presumptive errors were detected, the largest proportion related to part_of relationship assignments. The results highlight the fact that errors are unavoidable in complex ontologies and that well designed algorithms can help domain experts to focus on concepts with high likelihood of errors and maximize their effort to ensure consistency and reliability. In the future similar methods might be integrated with data entry processes to offer real-time error detection.
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发表时间：
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