SaGe

A Web Preempted SPARQL query Engine for Knowledge Graphs

2019

Best Paper BDA-2019

Thomas Minier, Hala Skaf-Molli and Pascal Molli. “SaGe: Web Preemption for Public SPARQL Query services” in Proceedings of the 2019 World Wide Web Conference (WWW’19), San Francisco, USA, May 13-17, 2019. (slides) (poster)

2018

Thomas Minier, Hala Skaf-Molli, Pascal Molli. SaGe: Preemptive Query Execution for High Data Availability on the Web. 2018. hal-01806486

Latest Posts

SaGe: the 2020 January Release
SaGe: the 2020 January Release

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

SaGe: the 2019 February Release
SaGe: the 2019 February Release

We are proud to announce the release of Sage 1.1.

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