CTO:基于社区的临床试验本体及其在 PubChemRDF 和 SCAIView 中的应用。

CEUR workshop proceedings Pub Date : 2020-09-01
Asiyah Yu Lin, Stephan Gebel, Qingliang Leon Li, Sumit Madan, Johannes Darms, Evan Bolton, Barry Smith, Martin Hofmann-Apitius, Yongqun Oliver He, Alpha Tom Kodamullil
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引用次数: 0

摘要

在 PubChemRDF 和 SCAIView 用例的推动下,我们遵循 OBO Foundry 原则开发了首个基于社区的临床试验本体(CTO)。CTO 使用基本形式本体(BFO)作为顶层本体,并重用了现有本体中的许多术语。CTO 还定义了许多临床试验专用术语。一般的 CTO 设计模式基于 PICO 框架和两个应用程序。首先,PubChemRDF 用例展示了如何将药物格列卫与研究格列卫相关化合物的多项临床试验联系起来。其次,SCAIView 文本挖掘引擎展示了如何在其搜索算法中使用 CTO 术语来识别涉及 COVID-19 相关临床试验的出版物。此外还讨论了未来的机遇和挑战。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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CTO: a Community-Based Clinical Trial Ontology and its Applications in PubChemRDF and SCAIView.

Driven by the use cases of PubChemRDF and SCAIView, we have developed a first community-based clinical trial ontology (CTO) by following the OBO Foundry principles. CTO uses the Basic Formal Ontology (BFO) as the top level ontology and reuses many terms from existing ontologies. CTO has also defined many clinical trial-specific terms. The general CTO design pattern is based on the PICO framework together with two applications. First, the PubChemRDF use case demonstrates how a drug Gleevec is linked to multiple clinical trials investigating Gleevec's related chemical compounds. Second, the SCAIView text mining engine shows how the use of CTO terms in its search algorithm can identify publications referring to COVID-19-related clinical trials. Future opportunities and challenges are discussed.

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