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:
QueryResult
and RepositoryResult
objects now implement Java Iterable
, making client code simpler and smoother.Statement
and Model
objects.See the release notes for more details.
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:
QueryResult
and RepositoryResult
objects now implement Java Iterable
, making client code simpler and smoother.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.
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.
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:
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.
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.
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:
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.
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.