Investigating Term Reuse and Overlap in Biomedical Ontologies.

CEUR workshop proceedings Pub Date : 2015-07-01 Epub Date: 2015-11-18
Maulik R Kamdar, Tania Tudorache, Mark A Musen
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引用次数: 0

Abstract

We investigate the current extent of term reuse and overlap among biomedical ontologies. We use the corpus of biomedical ontologies stored in the BioPortal repository, and analyze three types of reuse constructs: (a) explicit term reuse, (b) xref reuse, and (c) Concept Unique Identifier (CUI) reuse. While there is a term label similarity of approximately 14.4% of the total terms, we observed that most ontologies reuse considerably fewer than 5% of their terms from a concise set of a few core ontologies. We developed an interactive visualization to explore reuse dependencies among biomedical ontologies. Moreover, we identified a set of patterns that indicate ontology developers did intend to reuse terms from other ontologies, but they were using different and sometimes incorrect representations. Our results suggest the value of semi-automated tools that augment term reuse in the ontology engineering process through personalized recommendations.

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研究生物医学本体中的术语重用和重叠。
我们调查了当前生物医学本体中术语重用和重叠的程度。使用BioPortal知识库中存储的生物医学本体语料库,分析了三种类型的重用结构:(a)显式术语重用,(b) xref重用和(c)概念唯一标识符(CUI)重用。虽然术语标签相似度约占总术语的14.4%,但我们观察到,大多数本体从几个核心本体的简明集合中重用的术语远远少于5%。我们开发了一个交互式可视化来探索生物医学本体之间的重用依赖关系。此外,我们确定了一组模式,这些模式表明本体开发人员确实打算重用来自其他本体的术语,但他们使用了不同的、有时是不正确的表示。我们的研究结果表明,在本体工程过程中,通过个性化推荐增加术语重用的半自动工具的价值。
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