About: Parallel SPARQL Query Processing Using Bobox

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An Entity of Type : http://linked.opendata.cz/ontology/domain/vavai/Vysledek, within Data Space : linked.opendata.cz associated with source document(s)

Attributes	Values
rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
rdfs:seeAlso	http://www.thinkmind.org/index.php?view=article&articleid=intsys_v5_n34_2012_7
Description	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 makes use 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. 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 makes use 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. (en)
Title	Parallel SPARQL Query Processing Using Bobox Parallel SPARQL Query Processing Using Bobox (en)
skos:prefLabel	Parallel SPARQL Query Processing Using Bobox Parallel SPARQL Query Processing Using Bobox (en)
skos:notation	RIV/00216208:11320/12:10124033!RIV13-GA0-11320___
http://linked.open...avai/riv/aktivita	P S
http://linked.open...avai/riv/aktivity	P(GAP202/10/0761), S
http://linked.open...iv/cisloPeriodika	3
http://linked.open...vai/riv/dodaniDat	2013
http://linked.open...aciTvurceVysledku	Čermák, Miroslav Dokulil, Jiří Zavoral, Filip Falt, Zbyněk
http://linked.open.../riv/druhVysledku	J - Článek v odborném periodiku
http://linked.open...iv/duvernostUdaju	S - Úplné a pravdivé údaje nepodléhající ochraně podle zvláštních právních předpisů
http://linked.open...titaPredkladatele	Univerzita Karlova v Praze / Matematicko-fyzikální fakulta
http://linked.open...dnocenehoVysledku	157768
http://linked.open...ai/riv/idVysledku	RIV/00216208:11320/12:10124033
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	parallel; query optimization; Bobox (en)
http://linked.open.../riv/klicoveSlovo	Bobox parallel query optimization
http://linked.open...odStatuVydavatele	CA - Kanada
http://linked.open...ontrolniKodProRIV	[2282A8ACE9ED]
http://linked.open...i/riv/nazevZdroje	International Journal On Advances in Intelligent Systems
http://linked.open...in/vavai/riv/obor	IN
http://linked.open...ichTvurcuVysledku	4 (xsd:int)
http://linked.open...cetTvurcuVysledku	4 (xsd:int)
http://linked.open...vavai/riv/projekt	Web Semantization
http://linked.open...UplatneniVysledku	2012
http://linked.open...v/svazekPeriodika	5
http://linked.open...iv/tvurceVysledku	Dokulil, Jiří Zavoral, Filip Čermák, Miroslav Falt, Zbyněk
issn	1942-2679
number of pages	13 (xsd:int)
http://localhost/t...ganizacniJednotka	11320

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