A Survey of Approaches to Representing SPARQL Variables in SQL Queries

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F17%3A10364290" target="_blank" >RIV/00216208:11320/17:10364290 - isvavai.cz</a>

Výsledek na webu

<a href="https://doi.org/10.1007/978-3-319-69459-7_21" target="_blank" >https://doi.org/10.1007/978-3-319-69459-7_21</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/978-3-319-69459-7_21" target="_blank" >10.1007/978-3-319-69459-7_21</a>

Jazyk výsledku

angličtina

Název v původním jazyce

A Survey of Approaches to Representing SPARQL Variables in SQL Queries

Popis výsledku v původním jazyce

RDF is a universal data model for publishing structured data on the Web. On the other hand, many structured data is stored in relational database systems. To support publishing data in the RDF model, it is essential to close the gap between the relational and RDF worlds. A virtual SPARQL endpoint over relational data is a promising approach to achieve that. To build a virtual SPARQL endpoint, we need to know how to translate SPARQL queries to corresponding SQL queries. There exist several approaches to such transformation. Most of them are focused on the processing of user-defined mapping. The user-defined mapping gives an user the ability to define a mapping of a stored relation data to almost any RDF representation. In this paper we focus on one of the core problems of the transformation: how to represent variables from a given SPARQL query in the corresponding SQL query. We survey variable representations from existing approaches; how the selected representation affects the soundness and performance of the whole transformation approach.

Název v anglickém jazyce

A Survey of Approaches to Representing SPARQL Variables in SQL Queries

Popis výsledku anglicky

RDF is a universal data model for publishing structured data on the Web. On the other hand, many structured data is stored in relational database systems. To support publishing data in the RDF model, it is essential to close the gap between the relational and RDF worlds. A virtual SPARQL endpoint over relational data is a promising approach to achieve that. To build a virtual SPARQL endpoint, we need to know how to translate SPARQL queries to corresponding SQL queries. There exist several approaches to such transformation. Most of them are focused on the processing of user-defined mapping. The user-defined mapping gives an user the ability to define a mapping of a stored relation data to almost any RDF representation. In this paper we focus on one of the core problems of the transformation: how to represent variables from a given SPARQL query in the corresponding SQL query. We survey variable representations from existing approaches; how the selected representation affects the soundness and performance of the whole transformation approach.

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

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

Rok uplatnění

2017

Kód důvěrnosti údajů

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

Název statě ve sborníku

On the Move to Meaningful Internet Systems. OTM 2017 Conferences - Confederated International Conferences: CoopIS, C&amp;TC, and ODBASE 2017

ISBN

978-3-319-69458-0

ISSN

0302-9743

e-ISSN

neuvedeno

Počet stran výsledku

18

Strana od-do

300-317

Název nakladatele

Springer

Místo vydání

Neuveden

Místo konání akce

Rhodes, Greece

Datum konání akce

23. 10. 2017

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

—