Release Notes
RDF4J 5.3.1 is a patch release that fixes 2 performance issues.
For a complete overview, see all issues fixed in 5.3.1.
Acknowledgements This release was made possible by contributions from Håvard M. Ottestad.
RDF4J 5.3.0 is a minor release that fixes 22 issues since 5.2.2.
Highlights Query observability is much stronger in 5.3.0. Query explanations now carry richer runtime telemetry (GH-5701), can be requested and cancelled over HTTP, and are exposed in Workbench with text, JSON, and DOT views plus side-by-side comparison support (GH-5713). The new experimental QueryPlanSnapshotCli helps capture and compare plans across benchmark runs (GH-5691). Server deployment is easier. RDF4J now ships a self-contained Spring Boot distribution for Server and Workbench as rdf4j-server-boot (GH-1502), and the Spring components now include a lightweight rdf4j-spring-boot-sparql-web wrapper for SPARQL-only HTTP services.
RDF4J 5.2.2 is a patch release that fixes 3 issues.
For a complete overview, see all issues fixed in 5.2.2.
Acknowledgements This release was made possible by contributions from Piotr Sowiński and Håvard M. Ottestad.
About
Eclipse RDF4J™ is a powerful Java framework for processing and handling RDF data. This includes creating, parsing, scalable storage, reasoning and querying with RDF and Linked Data. It offers an easy-to-use API that can be connected to all leading RDF database solutions. It allows you to connect with SPARQL endpoints and create applications that leverage the power of linked data and Semantic Web.
