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Challenge Accepted: QUAD Meets MOCHA2017

  • Alexander Potocki
  • Daniel Hladky
  • Martin Voigt
Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 769)

Abstract

Native RDF (http://www.w3.org/RDF/) stores have been making enormous progress in closing the performance gap compared to relational database management systems (RDBMS). But this small gap, however, still prevents the adoption of RDF stores in scenarios for large-scale enterprise applications. We solve this problem with our native RDF store QUAD and its fundamental design principles. It is based on a vector database schema for quadruples and it is realized by facilitating various index data structures. QUAD also comprises approaches to optimize the SPARQL query execution plan by using heuristic transformations. In this short paper, we briefly introduce QUAD and sketch in which tasks of the Mighty Storage Challenge we will attend to benchmark the current performance capabilities.

Keywords

RDF SPARQL Index Query optimization Benchmarking 

Notes

Acknowledgments

This work was partially supported by the BMWi project SAKE (Grant No. 01MD15006).

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Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  • Alexander Potocki
    • 1
  • Daniel Hladky
    • 1
  • Martin Voigt
    • 1
  1. 1.Ontos GmbHLeipzigGermany

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