Published October 30, 2019
| Version v1
Conference paper
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Querying Large-scale RDF Datasets Using the SANSA Framework
- 1. InFAI, University of Leipzig
- 2. University of Bonn
- 3. Fraunhofer IAIS
Description
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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paper74.pdf
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Related works
- Is identical to
- http://ceur-ws.org/Vol-2456/paper74.pdf (URL)
Funding
- QROWD – QROWD - Because Big Data Integration is Humanly Possible 732194
- European Commission
- BigDataOcean – BigDataOcean - Exploiting Ocean's of Data for Maritime Applications 732310
- European Commission
- BOOST 4.0 – Big Data Value Spaces for COmpetitiveness of European COnnected Smart FacTories 4.0 780732
- European Commission
- SLIPO – Scalable Linking and Integration of Big POI data 731581
- European Commission