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Thu, Feb 27, 2020

We are pleased to announce the release of RDF4J 3.1.1. This is a patch release with a number of bug fixes. See the release notes for more details.


Thu, Feb 6, 2020

We are very pleased to announce the release of RDF4J 3.1.0. This is a minor release, addressing over 60 issues, including a number of major new features and improvements. Some of the highlights:

  • Integrated support for sophisticated federated querying through FedX.
  • The ElasticSearchStore, a new experimental storage backend.
  • QueryResult and RepositoryResult objects now implement Java Iterable, making client code simpler and smoother.
  • Helper functions for stripping away context / named graph info from Statement and Model objects.

See the release notes for more details.


Sat, Jan 18, 2020

The second milestone build of the upcoming 3.1 release of RDF4J is now available for download.

RDF4J 3.1.0 is a minor release with a number of new features and improvements. Some of the highlights:

  • Integrated support for sophisticated federated querying through FedX.
  • The ElasticSearchStore, a new experimental storage backend.
  • QueryResult and RepositoryResult objects now implement Java Iterable, making client code simpler and smoother.
  • Helper functions for stripping away context / named graph info from Statement and Model objects.

This second milestone build is not yet feature-complete, but we are putting it out to receive early feedback on these two major new features, as well as on any of the other improvements we have put in.


Sun, Jan 12, 2020

We’re pleased to announce the release of RDF4J 3.0.4.

RDF4J 3.0.4 is a patch release with a number of bug fixes. See the release and upgrade notes for more details.


Thu, Dec 19, 2019

The first milestone build of the upcoming 3.1 release of RDF4J is now available for download.

RDF4J 3.1.0 is a minor release with a number of new features and improvements. Some of the highlights:

  • Integrated support for sophisticated federated querying through FedX.
  • The ElasticSearchStore, a new experimental storage backend.

This first milestone build is not yet feature-complete, but we are putting it out to receive early feedback on these two major new features, as well as on any of the other improvements we have put in.


Sat, Nov 30, 2019

We’re pleased to announce the release of RDF4J 3.0.3.

RDF4J 3.0.3 is a patch release with a number of bug fixes. See the release and upgrade notes for more details.


Fri, Nov 1, 2019
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.

Sat, Oct 26, 2019

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.


Tue, Oct 15, 2019

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.


Sun, Oct 13, 2019

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

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.


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.


RDF4J Architecture

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