Release Notes
RDF4J 4.0.0-M1 is the first Milestone build of the upcoming 4.0.0 release of RDF4J.
RDF4J 4.0.0 is a major release of the RDF4J framework, focusing on improved performance and improved maintainability. A large effort to clean up the structure is intended to make it easier to deliver new features in this and future releases.
Some of the highlights covered in this first milestone:
Update to Java 11 as the minimally-required version of Java Various improvements in the SparqlBuilder Various speed and optimization improvements in the SPARQL query engine Performance improvements in the SHACL engine Performance improvements in the Memory Sail Improved support for working with RDF4J in Spring and Spring Boot applications (see documentation for details) SeRQL and SPIN are no longer supported Removal of several long-deprecated packages and interfaces This milestone build is not yet feature-complete, but we are putting it out to receive early feedback on all the improvements we have put in.
RDF4J 3.7.4 is a patch release that fixes 5 issues.
For a complete overview, see all issues fixed in 3.7.4.
Acknowledgements This release was made possible by contributions from Denitsa Stoianova, Andreas Schwarte, Tomas Kovachev, and Jeen Broekstra.
RDF4J 3.7.3 is a patch release that fixes 7 issues, including a fix in the ND-JSONLD parser, the handling of Base64-encoded RDF-star triples, a thread leak fix in the HTTPRepository, and a fix in the query planner for the handling of SPARQL UNION queries.
For a complete overview, see all issues fixed in 3.7.3.
Acknowledgements This release was made possible by contributions from Diana Ivanova, Damyan Ognyanov, Bart Hanssens, Havard Ottestad, and Jeen Broekstra.
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.
