An Efficient Distributed SPARQL Query Processing Scheme Considering Communication Costs in Spark Environments

An Efficient Distributed SPARQL Query Processing Scheme Considering Communication Costs in Spark Environments

Various distributed processing schemes were studied to efficiently utilize a large scale of RDF graph in semantic web services. This paper proposes a new distributed SPARQL query processing scheme considering communication costs in Spark environments to reduce I/O costs during SPARQL query processin...

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Hlavní autoři: Jongtae Lim, Byounghoon Kim, Hyeonbyeong Lee, Dojin Choi, Kyoungsoo Bok, Jaesoo Yoo
Médium: Článek
Jazyk:English
Vydáno: MDPI AG 2021-12-01
Edice:Applied Sciences
Témata:
SPARQL
Apache spark
RDF
distributed query processing
communication cost
On-line přístup:https://www.mdpi.com/2076-3417/12/1/122

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https://www.mdpi.com/2076-3417/12/1/122

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