一种基于本体学的方法来设计一个NoSQL数据库,用于半结构化和非结构化健康数据
Poly Sil Sen1, Nandini Mukherjee2
1Computer Science Technology, University of Engineering and Management, New Town Road, Kolkata, 700160 West Bengal India.
概括
本研究介绍了一种基于本体学的方法,用于设计NoSQL数据库来管理大健康数据. 拟议的方法优化了数据检索和处理,以提高医疗保健应用程序的性能.
科学领域:
- 医疗信息学 医疗信息学
- 数据库管理数据库管理
- 本体学 工程学 工程学
背景情况:
- 医疗保健从ICT应用程序中产生了大量的大数据.
- 对于大健康数据,NoSQL数据库是最受欢迎的,但缺乏标准化的设计方法.
- 高效的数据建模对于医疗保健中的NoSQL性能至关重要.
研究的目的:
- 为大健康数据设计NoSQL数据库方案提出基于本体学的方法.
- 开发一种算法,用于使用本体学和查询特征生成NoSQL方案.
- 评估拟议设计的性能与传统的关系模型相比.
主要方法:
- 开发了一种初级医疗保健本体学,以建模领域知识.
- 提出了NoSQL模式设计的算法,使用本体学,查询集和性能要求.
- 实现并测试了针对MongoDB的模式设计.
- 将性能与MongoDB云平台上的关系模型进行比较.
主要成果:
- 证明了对大健康数据的基于本体学的方法的有效性.
- 与关系模型相比,拟议的NoSQL设计显示出更好的性能.
- 在MongoDB上成功生成和验证方案.
结论:
- 本体论驱动的模式设计是NoSQL数据库中的大健康数据的可行方法.
- 拟议的方法提高了数据检索效率和医疗保健资源优化.
- 该方法提供了一个框架,用于为专业领域设计有效的NoSQL数据库.
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