Extending LargeRDFBench for Multi-Source Data at Scale for SPARQL Endpoint Federation

Ali Hasnain; Muhammad Saleem; Axel-Cyrille Ngonga Ngomo; Dietrich Rebholz-Schuhmann

doi:10.13025/21020

Extending LargeRDFBench for Multi-Source Data at Scale for SPARQL Endpoint Federation

Ali Hasnain
, Muhammad Saleem
, Axel-Cyrille Ngonga Ngomo
, Dietrich Rebholz-Schuhmann

Computer Science

Research output: Chapter in Book or Conference Publication/Proceeding › Conference Publication › peer-review

Abstract

Querying the Web of Data is highly motivated by the use of federation approaches mainly SPARQL query federation when the data is available through endpoints. Different benchmarks have been proposed to exploit the full potential of SPARQL query federation approaches in real world scenarios with their limitations in size and complexity. Previously, we introduced LargeRDFBench – a billion-triple benchmark for SPARQL query federation. In this work, we pinpoint some of of the limitation of LargeRDFBench and propose an extension with 8 additional queries. Our evaluation results of the state-of-the-art federation engines revealed interesting insights, when tested on these additional queries

Original language	English (Ireland)
Title of host publication	International Semantic Web Conference 2018
Publisher	IOS PRESS
DOIs	https://doi.org/10.13025/21020 https://doi.org/10.3233/978-1-61499-894-5-203
Publication status	Published - 1 Jan 2018

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10.13025/21020Licence: CC BY-NC-ND
10.3233/978-1-61499-894-5-203

PublicAccepted author manuscript, 234 KBLicence: CC BY-NC-ND

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title = "Extending LargeRDFBench for Multi-Source Data at Scale for SPARQL Endpoint Federation",

abstract = "Querying the Web of Data is highly motivated by the use of federation approaches mainly SPARQL query federation when the data is available through endpoints. Different benchmarks have been proposed to exploit the full potential of SPARQL query federation approaches in real world scenarios with their limitations in size and complexity. Previously, we introduced LargeRDFBench – a billion-triple benchmark for SPARQL query federation. In this work, we pinpoint some of of the limitation of LargeRDFBench and propose an extension with 8 additional queries. Our evaluation results of the state-of-the-art federation engines revealed interesting insights, when tested on these additional queries",

author = "Ali Hasnain and Muhammad Saleem and Ngomo, \{Axel-Cyrille Ngonga\} and Dietrich Rebholz-Schuhmann",

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AU - Hasnain, Ali

AU - Saleem, Muhammad

AU - Ngomo, Axel-Cyrille Ngonga

AU - Rebholz-Schuhmann, Dietrich

PY - 2018/1/1

Y1 - 2018/1/1

N2 - Querying the Web of Data is highly motivated by the use of federation approaches mainly SPARQL query federation when the data is available through endpoints. Different benchmarks have been proposed to exploit the full potential of SPARQL query federation approaches in real world scenarios with their limitations in size and complexity. Previously, we introduced LargeRDFBench – a billion-triple benchmark for SPARQL query federation. In this work, we pinpoint some of of the limitation of LargeRDFBench and propose an extension with 8 additional queries. Our evaluation results of the state-of-the-art federation engines revealed interesting insights, when tested on these additional queries

AB - Querying the Web of Data is highly motivated by the use of federation approaches mainly SPARQL query federation when the data is available through endpoints. Different benchmarks have been proposed to exploit the full potential of SPARQL query federation approaches in real world scenarios with their limitations in size and complexity. Previously, we introduced LargeRDFBench – a billion-triple benchmark for SPARQL query federation. In this work, we pinpoint some of of the limitation of LargeRDFBench and propose an extension with 8 additional queries. Our evaluation results of the state-of-the-art federation engines revealed interesting insights, when tested on these additional queries

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M3 - Conference Publication

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PB - IOS PRESS

ER -

Extending LargeRDFBench for Multi-Source Data at Scale for SPARQL Endpoint Federation

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