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RDF4J

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Thu, May 21, 2020

We are pleased to announce the release of RDF4J 3.2.1. This is a patch release fixing 6 issues, including several fixes in SPARQL processing, FedX query optimization, and a Sail concurrency issue.

See the release notes for more details.


Thu, May 7, 2020

We are very pleased to announce that RDF4J 3.2.0 is now available. RDF4J 3.2.0 is a minor release with over 40 issues fixed, including several major new features and improvements. Some of the highlights:

  • Experimental support for RDF* and SPARQL*
  • Remote SHACL Validation reports in the Workbench
  • Query plan inspection through the new explain feature
  • Various significant performance and scalability improvements in the Native Store

For more details, have a look at the release notes.


Sat, Apr 25, 2020

We are pleased to announce the release of RDF4J 3.1.4. This is a patch release with two fixed issues. See the release notes for more details.

We have also made a new milestone build available for RDF4J 3.2. RDF4J 3.2.0 Milestone 2 offers basic SPARQL* support in the Memory Store and various performance improvements in SHACL, the native store, and remote SPARQL endpoint update handling.

For more details, see:


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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