Parallel SPARQL Query Processing Using Bobox

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F12%3A10124033" target="_blank" >RIV/00216208:11320/12:10124033 - isvavai.cz</a>

Výsledek na webu

<a href="http://www.thinkmind.org/index.php?view=article&articleid=intsys_v5_n34_2012_7" target="_blank" >http://www.thinkmind.org/index.php?view=article&articleid=intsys_v5_n34_2012_7</a>

DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Parallel SPARQL Query Processing Using Bobox

Popis výsledku v původním jazyce

Proliferation of RDF data on the Web creates a need for systems that are not only capable of querying them, but also capable of scaling efficiently with the growing size of the data. Parallelization is one of the ways of achieving this goal. There is also room for optimization in RDF processing to reduce the gap between RDF and relational data processing. SPARQL is a popular RDF query language; however current engines do not fully benefit from parallelization potential. We present a solution that makesuse of the Bobox platform, which was designed to support development of data-intensive parallel computations as a powerful tool for querying RDF data stores. A key part of the solution is a SPARQL complier and execution plan optimizer, which were tailored specifically to work with the Bobox parallel framework. The experiments described in this paper show that such a parallel approach to RDF data processing has a potential to provide better performance than current serial engines.

Název v anglickém jazyce

Parallel SPARQL Query Processing Using Bobox

Popis výsledku anglicky

Proliferation of RDF data on the Web creates a need for systems that are not only capable of querying them, but also capable of scaling efficiently with the growing size of the data. Parallelization is one of the ways of achieving this goal. There is also room for optimization in RDF processing to reduce the gap between RDF and relational data processing. SPARQL is a popular RDF query language; however current engines do not fully benefit from parallelization potential. We present a solution that makesuse of the Bobox platform, which was designed to support development of data-intensive parallel computations as a powerful tool for querying RDF data stores. A key part of the solution is a SPARQL complier and execution plan optimizer, which were tailored specifically to work with the Bobox parallel framework. The experiments described in this paper show that such a parallel approach to RDF data processing has a potential to provide better performance than current serial engines.

Druh

J_x - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)

CEP obor

IN - Informatika

OECD FORD obor

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Projekt

<a href="/cs/project/GAP202%2F10%2F0761" target="_blank" >GAP202/10/0761: Semantizace webu</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2012

Kód důvěrnosti údajů

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

Název periodika

International Journal On Advances in Intelligent Systems

ISSN

1942-2679

e-ISSN

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Svazek periodika

5

Číslo periodika v rámci svazku

3

Stát vydavatele periodika

CA - Kanada

Počet stran výsledku

13

Strana od-do

302-314

Kód UT WoS článku

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EID výsledku v databázi Scopus

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