Literature DB >> 25570991

Evaluation of the performance of open-source RDBMS and triplestores for storing medical data over a web service.

Vassilis Kilintzis, Nikolaos Beredimas, Ioanna Chouvarda.   

Abstract

An integral part of a system that manages medical data is the persistent storage engine. For almost twenty five years Relational Database Management Systems(RDBMS) were considered the obvious decision, yet today new technologies have emerged that require our attention as possible alternatives. Triplestores store information in terms of RDF triples without necessarily binding to a specific predefined structural model. In this paper we present an attempt to compare the performance of Apache JENA-Fuseki and the Virtuoso Universal Server 6 triplestores with that of MySQL 5.6 RDBMS for storing and retrieving medical information that it is communicated as RDF/XML ontology instances over a RESTful web service. The results show that the performance, calculated as average time of storing and retrieving instances, is significantly better using Virtuoso Server while MySQL performed better than Fuseki.

Mesh:

Year:  2014        PMID: 25570991     DOI: 10.1109/EMBC.2014.6944623

Source DB:  PubMed          Journal:  Conf Proc IEEE Eng Med Biol Soc        ISSN: 1557-170X


  2 in total

1.  LORD: a phenotype-genotype semantically integrated biomedical data tool to support rare disease diagnosis coding in health information systems.

Authors:  Remy Choquet; Meriem Maaroufi; Yannick Fonjallaz; Albane de Carrara; Pierre-Yves Vandenbussche; Ferdinand Dhombres; Paul Landais
Journal:  AMIA Annu Symp Proc       Date:  2015-11-05

2.  Extending XNAT Platform with an Incremental Semantic Framework.

Authors:  Santiago Timón; Mariano Rincón; Rafael Martínez-Tomás
Journal:  Front Neuroinform       Date:  2017-08-31       Impact factor: 4.081

  2 in total

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