Efficient SPARQL to SQL Translation with User Defined Mapping

Result code in 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>

Result on the web

<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>

Result language

angličtina

Original language name

Efficient SPARQL to SQL Translation with User Defined Mapping

Original language description

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.

Czech name

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Czech description

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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)

Project

<a href="/en/project/GA16-09713S" target="_blank" >GA16-09713S: Efficient Exploration of Linked Data Cloud</a><br>

Continuities

S - Specificky vyzkum na vysokych skolach

Publication year

2016

Confidentiality

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

Article name in the collection

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

Number of pages

15

Pages from-to

215-229

Publisher name

Springer Verlag

Place of publication

Germany

Event location

Prague, Czech Republic

Event date

Sep 21, 2016

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

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