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- paper-22 type InProceedings.
- paper-22 label "TripleRush".
- paper-22 sameAs paper-22.
- paper-22 abstract "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.".
- paper-22 hasAuthorList authorList.
- paper-22 isPartOf poster-demo-proceedings.
- paper-22 title "TripleRush".