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SPARQL Query-Builder for Medical Temporal Data

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F18%3A43953613" target="_blank" >RIV/49777513:23520/18:43953613 - isvavai.cz</a>

  • Result on the web

    <a href="http://dx.doi.org/10.1109/CISP-BMEI.2018.8633266" target="_blank" >http://dx.doi.org/10.1109/CISP-BMEI.2018.8633266</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1109/CISP-BMEI.2018.8633266" target="_blank" >10.1109/CISP-BMEI.2018.8633266</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    SPARQL Query-Builder for Medical Temporal Data

  • Original language description

    Semantic Web technologies and Linked Data approach are widely used in different areas. Patient therapy and treatment are the processes where temporal data naturally occurs. During the treatment there can exist data like clinical reports, imaging examinations or laboratory results and all of them contain information about date and time of the event. Preparing data for analysis is often a hard task. We work with temporal medical data stored in the RDF store with SPARQL Endpoint support. To meet physicians requirements, it is necessary to transform the temporal data from RDF into a spreadsheet for their analysis. Our goal is to make SPARQL builder that can produce SELECT queries. Each query allows required subset of temporal medical data selection using SPARQL Endpoint for follow-up analysis. The builder should auto-configure itself when ontologies, concepts, timepoints, attributes, domain/range constraints, annotations and RDF vocabularies are known. This paper describes a prototype web-oriented application of SPARQL query builder. The main advantage is a simple user interface where even a user without knowledge of SPARQL can make a complex queries that support a multiple attributes selection with different timepoints. A direct use of SPARQL Endpoint is possible. The result tabular data could be then used for analysis by common tools

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Result continuities

  • Project

    <a href="/en/project/LO1506" target="_blank" >LO1506: Sustainability support of the centre NTIS - New Technologies for the Information Society</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2018

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    2018 11th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics

  • ISBN

    978-1-5386-7604-2

  • ISSN

  • e-ISSN

  • Number of pages

    5

  • Pages from-to

    1-5

  • Publisher name

    IEEE

  • Place of publication

    Beijing

  • Event location

    Beijing

  • Event date

    Oct 13, 2018

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    000462163500242