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- paper-37 type InProceedings.
- paper-37 label "PigSPARQL: A SPARQL Query Processing Baseline for Big Data".
- paper-37 sameAs paper-37.
- paper-37 abstract "In this paper, we discuss PigSPARQL, a competitive, yet easy to use, SPARQL query processing system based on MapReduce and thus intended for Big Data applications. Instead of a direct mapping, PigSPARQL uses the query language of Pig, a data analysis platform on top of Hadoop, as an intermediate layer between SPARQL and MapReduce. The additional level of abstraction makes our approach independent of the actual Hadoop version. Thus, it is automatically compatible to future changes of the Hadoop framework as they will be neutralized by the Pig layer and allows ad-hoc SPARQL query processing on large RDF graphs out of the box. In the paper we first revisit PigSPARQL and demonstrate PigSPARQL's gain of efficiency simply because switching from version Pig 0.5.0 to Pig 0.11.0. Because of this sustainability, PigSPARQL is an attractive long-term baseline for comparing various MapReduce based SPARQL implementations. This is underlined by PigSPARQL's competitiveness with existing systems, e.g. HadoopRDF.".
- paper-37 hasAuthorList authorList.
- paper-37 isPartOf poster-demo-proceedings.
- paper-37 title "PigSPARQL: A SPARQL Query Processing Baseline for Big Data".