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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:
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:
As you can see, we’ve given our website a fresh coat of paint. We’ve updated our site to use the Eclipse Solstice theme, and have unified our general website and documentation site in a single project. This makes updating, maintaining, and improving the site and the project documentation a lot easier.
Rdf4j 2.5.2 is a patch release containing several bug fixes, including:
Rdf4j 2.5.1 is a patch release containing bug fixes and a library update, including:
We are very pleased to announce the release of Eclipse rdf4j 2.5. This release addresses over 70 issues, and includes several major new features and improvements, including:
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.
