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	cache	source	pre-computing	Source selection
FedX	GNU Affero General Public License	Java	Yes	available	No	"ask"
SPLENDID	GNU Lesser GPL	Java	No	available	Yes	"ask"+statistics
ADERIS	Apache License 2.0	Java	No	available	No	predicate
ANAPSID	GNU Lesser GPL	Python	No	available	Yes	predicate