Federated SPARQL query system benchmark for life sciences data

• Overview

• Federated SPARQL query engines
  • FedX => FedX
  • SPLENDID => SPLENDID
  • ADERIS => ADERIS
  • ANAPSID => ANAPSID
  • Others => Others

• Platform

• Data & Query=> Data&Query

• Approach

Overview

Query of RDF data via SPARQL endpoints can be processed based on the original date sources. We evaluate federated SPARQL endpoint query systems for real life sciences data. Different from Fedbench,SP2Bench, and the fine-grained evaluation of SPARQL endpoint federation systems, all of which use a simulated federated environment, and synthetic data or subset of real data. We use the real life science data and the real endpoints. We test FedX,SPLEND,ADERIS,GDS.

Federated system engine	Licencing	Platform	Source selection	cache	source
FedX	GNU Affero General Public License	Java	Ask	Yes	available
SPLENDID	GNU Lesser GPL	Java	Ask+statistics	No	available
ADERIS	Apache License 2.0	Java	predicate	No	available
ANAPSID	GNU Lesser GPL	Python	predicate	No	available