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Establishing Semantic Interoperability of Biomedical Metadata Registries using Extended Semantic Relationships

机译:使用扩展语义关系建立生物医学元数据注册表的语义互操作性

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Achieving semantic interoperability is critical for biomedical data sharing between individuals, organizations and systems. The ISO/IEC 11179 MetaData Registry (MDR) standard has been recognized as one of the solutions for this purpose. The standard model, however, is limited. Representing concepts consist of two or more values, for instance, are not allowed including blood pressure with systolic and diastolic values. We addressed the structural limitations of ISO/IEC 11179 by an integrated metadata object model in our previous research. In the present study, we introduce semantic extensions for the model by defining three new types of semantic relationships; dependency, composite and variable relationships. To evaluate our extensions in a real world setting, we measured the efficiency of metadata reduction by means of mapping to existing others. We extracted metadata from the College of American Pathologist Cancer Protocols and then evaluated our extensions. With no semantic loss, one third of the extracted metadata could be successfully eliminated, suggesting better strategy for implementing clinical MDRs with improved efficiency and utility.
机译:实现语义互操作性对于个人,组织和系统之间的生物医学数据共享至关重要。 ISO / IEC 11179元数据注册表(MDR)标准已被识别为此目的的一个解决方案。然而,标准模型是有限的。代表概念由两个或多个值组成,例如,不允许包括具有收缩和舒张值的血压。我们通过我们以前的研究中的集成元数据对象模型解决了ISO / IEC 11179的结构限制。在本研究中,我们通过定义三种新类型的语义关系来介绍模型的语义扩展;依赖性,复合和可变关系。为了评估我们在真实世界的环境中的扩展,我们通过映射到现有其他人来测量元数据的效率。我们从美国病理学家癌症协议学院提取了元数据,然后评估了我们的扩展。没有语义损失,可以成功消除三分之一的提取元数据,这表明具有提高效率和效用的临床MDR的更好策略。

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