News

We are pleased to announce that Eclipse RDF4J has officially graduated from the incubation phase, and is now considered a mature Eclipse project. Graduating from Incubation is a recognition of the fact that the RDF4J project is an open-source project with an open and transparent process, an active and growing community, and Eclipse-quality technology.

We’re pleased to announce the release of RDF4J 3.0.2.

RDF4J 3.0.2 is a patch release with a number of bug fixes. See the release and upgrade notes for more details.

We are happy to announce the integration of FedX as federation engine into RDF4J.

FedX provides transparent federation of multiple SPARQL endpoints under a single virtual endpoint. As an example, a knowledge graph such as Wikidata can be queried in a federation with endpoints that are linked to Wikidata as an integration hub. In a federated SPARQL query in FedX, one no longer needs to explicitly address specific endpoints using SERVICE clauses. Instead, FedX automatically selects relevant sources, sends statement patterns to these sources for evaluation, and joins the individual results. FedX seamlessly integrates into RDF4J using the Repository API and can be used as a drop-in component in existing applications including the RDF4J Workbench.

RDF4J 2.5.5 is a hotfix release containing a single bug fix:

• #1548 DROP GRAPH on unknown graph deletes entire dataset on native store

This fix was also included in the 3.0.1 release that went out yesterday. This hotfix is specifically intended for projects that are not yet ready to upgrade to 3.0.

We’re pleased to announce the release of RDF4J 3.0.1.

RDF4J 3.0.1 is a patch release with a number of bug fixes, including a major issue in DROP GRAPH execution on native stoes. See the release and upgrade notes for more details.

We’re pleased to announce the release of rdf4j 3.0.0.

Rdf4j 3.0 is a major new release of the rdf4j framework. Highlights include:

• Major improvements to the SHACL Sail
• Cleanup of core APIs (removing deprecated and obsolete code)
• Preparing rdf4j for Java 11/12 compatibility
• Rdf4j Server / Workbench upgrade to Servlet API 3.1
• Performance improvements to Models.isomorphic(…), to SPIN and to transaction handling in general

Rdf4j 2.5.4 is a patch release containing several bug fixes, including:

We’re pleased to announce the second milestone build for rdf4j 3.0.0.

Rdf4j 3.0 is a major new release of the rdf4j framework. It contains several backward incompatible changes.

Some highlights:

Rdf4j 2.5.3 is a patch release containing several bug fixes, including:

We’re pleased to announce the first milestone build for rdf4j 3.0.0.

Rdf4j 3.0 is a major new release of the rdf4j framework. It contains several backward incompatible changes.

Some highlights: