Querying Large-scale RDF Datasets Using the SANSA Framework

Stadler, Claus
Sejdiu, Gezim
Graux, Damian
Lehmann, Jens

Publication date

October 2019

DOI

Abstract

In this paper we present Sparklify: a scalable software component for efficient evaluation of SPARQL queries over distributed RDF datasets. In particular, we demonstrate a W3C SPARQL endpoint powered by our SANSA framework’s RDF partitioning system and Apache Spark for querying the DBpedia knowledge base. This work is motivated by the lack of Big Data SPARQL systems that are capable of exposing large-scale heterogeneous RDF datasets via a Web SPARQL endpoint

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Querying Large-scale RDF Datasets Using the SANSA Framework

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Querying Large-scale RDF Datasets Using the SANSA Framework

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