An r2rml-based Approach to Map Dengue Patient Database to Ontology

2020 8th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO) Pub Date : 2020-06-01 DOI:10.1109/ICRITO48877.2020.9197823

Runumi Devi, D. Mehrotra, Hajer Baazaoui-Zghal

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引用次数: 2

Abstract

Integrating Dengue patients’ data in semantic web from “deep web” facilitates interoperability amongst healthcare systems. Mapping dengue patients’ data that exist in relational databases with the existing machine-readable and interoperable Dengue knowledge-base is crucial towards providing interoperability through linked data network amongst Electronic Health Record(EHR) systems. An RDB to RDF mapping language(R2RML) based approach that maps dengue patients’ information maintained in legacy system(Relational database) to an existing dengue patients’ ontology is proposed in this paper. Mapping file is generated using R2RML for the database which is subsequently customized and mapped with the existing ontology. Finally RDF model is generated using R2RML processor based on the customized ontology and Simple Protocol and RDF Query Language (SPARQL) query is also executed that demonstrates ontology mapped patients triples.

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基于r2rml的登革热患者数据库到本体映射方法

从“深网”将登革热患者数据整合到语义网中，促进了医疗系统之间的互操作性。将关系数据库中存在的登革热患者数据与现有机器可读和可互操作的登革热知识库进行映射，对于通过电子健康记录(EHR)系统之间的关联数据网络提供互操作性至关重要。本文提出了一种基于RDB到RDF映射语言(R2RML)的方法，将遗留系统(关系数据库)中的登革热患者信息映射到现有的登革热患者本体。使用R2RML为数据库生成映射文件，随后对数据库进行定制并与现有本体进行映射。最后利用R2RML处理器基于自定义本体和简单协议生成RDF模型，并执行RDF查询语言(SPARQL)查询，演示本体映射的患者三元组。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

2020 8th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO)

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