Efficient SPARQL to SQL Translation with User Defined Mapping

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F16%3A10326647" target="_blank" >RIV/00216208:11320/16:10326647 - isvavai.cz</a>

Výsledek na webu

<a href="http://link.springer.com/chapter/10.1007/978-3-319-45880-9_17" target="_blank" >http://link.springer.com/chapter/10.1007/978-3-319-45880-9_17</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/978-3-319-45880-9_17" target="_blank" >10.1007/978-3-319-45880-9_17</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Efficient SPARQL to SQL Translation with User Defined Mapping

Popis výsledku v původním jazyce

The RDF framework is becoming popular for presenting data. It makes the data easily accessible and queryable. However, the most common way how to store structured data is to use a relational database system. It is essential to create a mapping between these two worlds, to publish the data stored in a relational database in the RDF format. That can be effectively achieved by a virtual SPARQL endpoint over relational data. There are already existing tools providing virtual SPARQL endpoints, but as we will show in the paper there is still space for improvement. In this paper we propose an algorithm to query RDF data stored in a relational database with an user defined mapping. Our aim is to generate SQL queries which can be effectively executed on the relational engines. In comparison to existing approaches we do not rely only on the optimizations of the relational query, but the SPARQL query first.

Název v anglickém jazyce

Efficient SPARQL to SQL Translation with User Defined Mapping

Popis výsledku anglicky

The RDF framework is becoming popular for presenting data. It makes the data easily accessible and queryable. However, the most common way how to store structured data is to use a relational database system. It is essential to create a mapping between these two worlds, to publish the data stored in a relational database in the RDF format. That can be effectively achieved by a virtual SPARQL endpoint over relational data. There are already existing tools providing virtual SPARQL endpoints, but as we will show in the paper there is still space for improvement. In this paper we propose an algorithm to query RDF data stored in a relational database with an user defined mapping. Our aim is to generate SQL queries which can be effectively executed on the relational engines. In comparison to existing approaches we do not rely only on the optimizations of the relational query, but the SPARQL query first.

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/GA16-09713S" target="_blank" >GA16-09713S: Efektivní explorace prostoru propojených dat</a><br>

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2016

Kód důvěrnosti údajů

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

Název statě ve sborníku

7th International Conference, KESW 2016, Prague, Czech Republic, September 21-23, 2016, Proceedings

ISBN

978-3-319-45879-3

ISSN

1865-0929

e-ISSN

neuvedeno

Počet stran výsledku

15

Strana od-do

215-229

Název nakladatele

Springer Verlag

Místo vydání

Germany

Místo konání akce

Prague, Czech Republic

Datum konání akce

21. 9. 2016

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

—