Release Notes
RDF4J 4.0.1 is a patch release that fixes 8 issues.
For a complete overview, see all issues fixed in 4.0.1.
Acknowledgements This release was made possible by contributions from Jerven Bolleman, Ken Wenzel, Max Stolze and Håvard M. Ottestad.
RDF4J 4.0.0-M3 is the third 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 third milestone:
improved normalization of BCP47 language tags type/language-based filtering in Lucene full-text search support for concurrent reads on a single connection storing SHACL Shapes in user specified graphs docs various performance improvements in Native/LMDB/Memory stores This milestone build is feature-complete and is intended to be the final milestone before official release.
RDF4J 4.0.0-M2 is the second 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 second milestone:
the LMDB Store, a new persistent embedded RDF Store based on the Lightning Memory-Mapped Database (LMDB) - see the documentation for details massive improvements in (concurrent) performance of various aspects of the framework, including the memory store, the SPARQL and SHACL engine, and more more cleanups of deprecated code 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.
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.
