健康数据的RDB2RDF:提升语义互操作性
Jane-Ly Buhvestova1, Gunnar Piho1, Peeter Ross2
1Department of Software Science, TalTech, Estonia.
Studies in health technology and informatics
|May 17, 2025
概括
本研究介绍了一种基于C#的算法,用于将关系数据库转换为资源描述框架 (RDF) 格式,从而提高医疗数据的互操作性. 新方法解决了复杂数据关系的现有工具的局限性.
科学领域:
- 计算机科学 计算机科学
- 医疗信息学 医疗信息学
- 数据管理数据管理
背景情况:
- 医疗保健数据的互操作性仍然是一个重大挑战,阻碍了无数据交换和分析.
- 现有的用于将关系数据库 (RDB) 转换为资源描述框架 (RDF) 格式的工具存在局限性,特别是复杂的数据结构.
- 有效的数据转换对于推进医疗信息学和实现复杂的数据驱动研究至关重要.
研究的目的:
- 提出和开发一种基于C#的新算法,用于将关系数据库转换为RDF格式.
- 解决当前RDB2RDF转换工具的局限性,重点关注可扩展性和处理复杂关系.
- 为在Visual Studio环境中改善医疗保健数据互操作性提供基础解决方案.
主要方法:
- 开发一种基于C#的算法,专门设计用于RDB转换为RDF.
- 实现处理外键映射和复杂关系的功能,包括复合键.
- 定制解决方案以在Visual Studio开发环境中集成.
主要成果:
- 已经开发了一个基于C#的功能算法,用于将RDB转换为RDF.
- 该算法展示了一种改进的方法来管理外钥匙映射和复杂的数据库关系.
- 该解决方案在Visual Studio中实现,为开发人员提供了一个实用的工具.
结论:
- 拟议的算法提供了一种基本方法,通过RDB转换为RDF来克服医疗数据互操作性方面的挑战.
- 进一步的研究将专注于提高算法的灵活性和可扩展性,用于更广泛的应用.
- 未来的工作包括探索反向RDF到数据库转换能力的实施.
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