SPARQL Query-Builder for Medical Temporal Data

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

SPARQL Query-Builder for Medical Temporal Data

Popis výsledku v původním jazyce

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

Název v anglickém jazyce

SPARQL Query-Builder for Medical Temporal Data

Popis výsledku anglicky

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

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

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

Projekt

<a href="/cs/project/LO1506" target="_blank" >LO1506: Podpora udržitelnosti centra NTIS - Nové technologie pro informační společnost</a><br>

Návaznosti

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

Rok uplatnění

2018

Kód důvěrnosti údajů

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

Název statě ve sborníku

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

ISBN

978-1-5386-7604-2

ISSN

—

e-ISSN

—

Počet stran výsledku

5

Strana od-do

1-5

Název nakladatele

IEEE

Místo vydání

Beijing

Místo konání akce

Beijing

Datum konání akce

13. 10. 2018

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

000462163500242