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
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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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
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e-ISSN
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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