A Survey of Approaches to Representing SPARQL Variables in SQL Queries
The result's identifiers
Result code in 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>
Result on the web
<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>
Alternative languages
Result language
angličtina
Original language name
A Survey of Approaches to Representing SPARQL Variables in SQL Queries
Original language description
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.
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/GA16-09713S" target="_blank" >GA16-09713S: Efficient Exploration of Linked Data Cloud</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2017
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
On the Move to Meaningful Internet Systems. OTM 2017 Conferences - Confederated International Conferences: CoopIS, C&TC, and ODBASE 2017
ISBN
978-3-319-69458-0
ISSN
0302-9743
e-ISSN
neuvedeno
Number of pages
18
Pages from-to
300-317
Publisher name
Springer
Place of publication
Neuveden
Event location
Rhodes, Greece
Event date
Oct 23, 2017
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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