QUETSAL: A Query Federation Suite for SPARQL

QUETSAL is a SPARQL endpoint federation engine for federated SPARQL query processing

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Logo QUETSAL

QUETSAL is a novel query engine that combines a global join-aware source selection approach based on common prefixes with SPARQL query re-writing for federated SPARQL query processing. We compared our approach with state-of-the-art SPARQL query federation engines in terms of efficient source selection and overall query runtime on FedBench. Our evaluation shows that QUETSAL is the first engine to remain under 5% overall relevant sources overestimation with average source selection time under 160 msec. Moreover, our approach outperforms existing engines with respect to its execution time on most of the FedBench queries.

Following are the relevant AKSW projects to QUETSAL.

  • HiBISCuS- A hypergraph based source selection for SPARQL endpoints federation.
  • TopFed- Cancer Genome Atlas (TCGA) tailored federated query processing and linking to Linked Open Data (LOD) Cloud.
  • BigRDFBench- A billion triples benchmark for SPARQL Endpoint Federation.

Project Team

Publications

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News

DBpedia @ Google Summer of Code – GSoC 2017 ( 2017-03-13T11:12:50+01:00 Christopher Schulz)

2017-03-13T11:12:50+01:00 Christopher Schulz

DBpedia, one of InfAI’s community projects, will be part of the 5th Google Summer of Code program. The GsoC has the goal to bring students from all over the globe into open source software development. Read more about "DBpedia @ Google Summer of Code – GSoC 2017"

New GERBIL release v1.2.5 – Benchmarking entity annotation systems ( 2017-03-10T11:49:51+01:00 by Ricardo Usbeck)

2017-03-10T11:49:51+01:00 by Ricardo Usbeck

Dear all, the Smart Data Management competence center at AKSW is happy to announce GERBIL 1.2.5. Read more about "New GERBIL release v1.2.5 – Benchmarking entity annotation systems"

DBpedia Open Text Extraction Challenge – TextExt ( 2017-03-09T12:15:57+01:00 Christopher Schulz)

2017-03-09T12:15:57+01:00 Christopher Schulz

DBpedia, a community project affiliated with the Institute for Applied Informatics (InfAI) e.V., extract structured information from Wikipedia & Wikidata. Now DBpedia started the DBpedia Open Text Extraction Challenge – TextExt. Read more about "DBpedia Open Text Extraction Challenge – TextExt"

The USPTO Linked Patent Dataset release ( 2017-02-24T17:18:51+01:00 by Mofeed Hassan)

2017-02-24T17:18:51+01:00 by Mofeed Hassan

Dear all, We are happy to announce USPTO Linked Patent Dataset release. Patents are widely used to protect intellectual property and a measure of innovation output. Read more about "The USPTO Linked Patent Dataset release"

Two accepted papers in ESWC 2017 ( 2017-02-22T17:43:38+01:00 by Dr. Mohamed Ahmed Sherif)

2017-02-22T17:43:38+01:00 by Dr. Mohamed Ahmed Sherif

Hello Community! We are very pleased to announce the acceptance of two papers in ESWC 2017 research track. The ESWC 2017 is to be held in Portoroz, Slovenia from 28th of May to the 1st of June. Read more about "Two accepted papers in ESWC 2017"