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Contribution Details

Type Other Publication
Scope Discipline-based scholarship
Title TripleRush
Organization Unit
  • Philip Stutz
  • Coralia-Mihaela Verman
  • Lorenz Fischer
  • Abraham Bernstein
  • English
How Published CEUR-WS
Date 2013
Abstract Text TripleRush is a parallel in-memory triple store designed to address the need for efficient graph stores that answer queries over large-scale graph data fast. To that end it leverages a novel, graph-based architecture. Specifically, TripleRush is built on our parallel and distributed graph processing framework Signal/Collect. The index structure is represented as a graph where each index vertex corresponds to a triple pattern. Partially matched queries are routed in parallel along different paths of this index structure. We show experimentally that TripleRush takes about a third of the time to answer queries compared to the fastest of three state-of-the-art triple stores, when measuring time as the geometric mean of all queries for two common benchmarks.
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