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Linked Open Data como forma de agregar valor às informa??es clínicas

机译:链接开放数据,为临床信息增值

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摘要

Introduction: Linked Open Data (LOD) has been a constant subject in the main semantic web conferences and journals around the world. Some studies prove that the consumption of these data is potentially important to improve the data quality of the information systems in many areas. The clinical information is one of these areas and the LOD initiative has been trying to standardize its publication, becoming the link of more efficient datasets. However, adding value to internal data of information systems is challenging. The aim of this paper is to present LOD in order to verify the possibility of adding value to the clinical information systems' data. Method: Based on the researchers who proposed the semantic web those who follow LOD's evolution, a literature revision of the main concepts was made. A bibliographic research was developed obtaining a reference based on books and papers of well known authors. Results: Were presented six technologies that utilize the Linked Data pattern and propose the addition of value to the system information's data, especially the clinical ones. The common points of these six technologies are situated in the publication, extraction, link and consumption of LOD. Conclusion: It is possible to add value to internal data of the clinical systems, even when more than three billion LOD triples are available to be consumed.
机译:简介:链接开放数据(LOD)一直是世界范围内主要语义Web会议和期刊中不变的主题。一些研究证明,这些数据的使用对于提高许多领域信息系统的数据质量具有潜在的重要意义。临床信息是这些领域之一,LOD计划一直在尝试对其出版进行标准化,从而成为更有效的数据集的链接。但是,为信息系统的内部数据增加价值具有挑战性。本文的目的是介绍LOD,以验证为临床信息系统的数据增加价值的可能性。方法:在提出语义网的研究人员的基础上,跟随LOD的发展,对主要概念进行了文献修订。开发了书目研究,以参考知名作者的书籍和论文作为参考。结果:提出了六种利用链接数据模式的技术,并提出了为系统信息数据(尤其是临床信息)增加价值的技术。这六种技术的共同点在于LOD的发布,提取,链接和使用。结论:即使可以消耗超过30亿个LOD三元组,也可以为临床系统的内部数据增加价值。

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