分析和实施DynDiff工具在比较本体论版本时的应用
Sara Diaz Benavides1, Silvio D Cardoso2, Marcos Da Silveira1
1Luxembourg Institute of Science and Technology, 5, avenue des Hauts-Fourneaux, L-4362, Esch-sur-Alzette, Luxembourg.
Journal of biomedical semantics
|September 28, 2023
概括
DynDiff有效地检测和分类医疗知识本体论版本之间的变化. 该工具有助于管理不断变化的数据,并改进本体论进化的文档.
科学领域:
- 生物医学信息学 生物医学信息学
- 知识表示 知识表示
- 本体学 工程学 工程学
背景情况:
- 实体学对于管理医学知识和支持知识密集型任务至关重要.
- 医学知识的动态性需要经常更新本体学,这在管理变化及其对依赖系统的影响方面带来了挑战.
- 处理大量的本体学注释数据需要有效的方法来理解和记录这些变化.
研究的目的:
- 介绍一种方法和工具 (DynDiff),用于检测和描述本体学版本之间的变化.
- 介绍DynDiffOnto,一个使用语义网络最佳实践和FAIR原则设计的变更本体.
- 评估DynDiff的性能与生物医学领域的最先进方法相比.
主要方法:
- 开发了一种方法来检测和描述本体论版本之间的变化.
- 创建了DynDiffOnto,一种用于分类这些变化的本体学,遵循语义网络和FAIR原则.
- 在各种生物医学本体学 (ICD9-CM,MeSH,NCIt,SNOMEDCT,GO,IOBC,CIDO) 上实施和评估了DynDiff工具.
主要成果:
- 在执行时间和更改分类方面,DynDiff展示了大型本体的顶级性能和较小的本体的良好性能.
- 该工具有效地识别了复杂的存在学变化.
- 分析了本体学匹配器对差异计算的影响,突出了DynDiff利用最先进匹配器的参数化能力.
结论:
- 使用DynDiffOnto概念计算和分类使用DynDiffOnto概念的本体版本之间的差异,DynDiff是一个高效的工具.
- 该研究通过DynDiffOnto增强对本体学变化的理解,促进了本体学演变的文档化.
- DynDiff有助于管理由本体学所代表的不断发展的医学知识的复杂性.
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