SaGe: the 2020 January Release

Published: Jan 8, 2020 by GDD Team

We are happy to announce the release 2.1 of SaGe; a Preemptive SPARQL query Engine for Knowledge Graphs: http://sage.univ-nantes.fr

The main new features are:

  • The support of SPARQL UPDATE
  • The use of Postgres as a storage backend
  • More documentation

Sage-engine

  • The Sage server now support SPARQL update.
  • Add support for PostgreSQL as a backend.
  • All HTTP interfaces have been unified under the SPARQL 1.1 protocol.

Sage-client

  • Sage-client have been updated to use the new SaGe server.

Sage-jena

  • Sage-Jena have been updated to use the new SaGe server.

Sage-Web

  • The SaGe Web interface has been externalized as a standalone project called sage-web.

More informations on the release on: https://github.com/sage-org/sage-engine/releases/tag/2.1.0

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We are happy to announce the release 2.1 of SaGe; a Preemptive SPARQL query Engine for Knowledge Graphs: http://sage.univ-nantes.fr

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Published: Jan 8, 2020

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SaGe: the 2018 September Release
SaGe: the 2018 September Release

We are proud to announce the release of SAGE 1.0, a stable, responsive and unrestricted SPARQL query server [1]. The software and an online demo are freely available at: http://sage.univ-nantes.fr/

Positionning

Compared to public SPARQL endpoints, SAGE is stable and responsive without quotas. SAGE is able to deliver complete results for any SPARQL query. The Sage engine outperforms a Virtuoso server in term of execution time when the server load increases.

Compared to the Linked Data Fragment approach, SAGE outperforms a TPF server in term of execution time, communication costs and data transfers by several order of magnitude by processing BGP on the server side.

Experimental results and more details are available in [1].

We encourage you to run complex queries on RDF datasets available on the demo server and check performance (many presets queries are available).

We appreciate your feedback/comments/questions to be sent to our mailing list [2] or our issue tracker on github [3].

On behalf of the Sage team,

Pascal Molli, Hala-Skaf-Molli, Thomas Minier - GDD Team https://sites.google.com/site/gddlina/home, LS2N https://www.ls2n.fr/?lang=en, University of Nantes http://www.univ-nantes.fr/.

[1] Thomas Minier, Hala Skaf-Molli, Pascal Molli. SaGe: Preemptive Query Execution for High Data Availability on the Web. 2018. https://hal.archives-ouvertes.fr/hal-01806486v1

[2] sage@univ-nantes.fr

[3] https://github.com/sage-org/sage-engine/issues

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