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Fri, May 19, 2023

RDF4J 4.3 is now available. This is a minor release fixing 34 issues.

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



Sat, Apr 22, 2023

RDF4J 4.2.4 is now available. This is a patch release fixing 6 bugs.

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



Sat, Feb 11, 2023

RDF4J 4.2.3 is now available. This is a patch release fixing 9 issues.

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



Thu, Dec 1, 2022

RDF4J 4.2.2 is now available. This is a patch release fixing 3 bugs.

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



Tue, Nov 8, 2022

RDF4J 4.2.1 is now available. This is a patch release fixing 11 bugs, 3 of which are security fixes.

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



Fri, Sep 16, 2022

RDF4J 4.2.0 is now available. This is a minor release with performance improvements, bug fixes and a new feature to allow for custom SPARQL aggregate functions together with implementations for standard deviation and variance.

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



Wed, Sep 14, 2022

RDF4J 4.1.3 is now available. This is a patch release fixing 5 bugs.

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



Sun, Sep 11, 2022

RDF4J 4.1.2 is now available. This is a patch release fixing 6 bugs.

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



Thu, Sep 1, 2022

RDF4J 4.1.1 and 4.0.5 are now available. RDF4J 4.1.1 is a patch release fixing 13 bugs and 1 security vulnerability (CVE-2020-36518 in FasterXML Jackson Databind). Two of the issues fixed in 4.1.1, including the security vulnerability, have been backported and released as 4.0.5.

For more details, have a look at the 4.1.1 release notes and 4.0.5 release notes.



Sun, Jul 31, 2022

RDF4J 4.1.0 is now available.

A few notable features:

  • Major performance improvements[1]
    • 3x higher throughput for concurrent queries with the Memory Store
    • 25x faster deletion with the Native Store
    • 6x faster evaluation of SPARQL queries using MINUS with the Memory Store
    • 2-3x faster evaluation of most SPARQL queries with the Memory Store
    • Faster SPARQL query parsing
    • Faster SHACL validation
    • Passing the RDFS Reasoner Challenge posted by Justin
  • LMDB Store is available in the server and workbench
  • Fuzzy prefix support in the Lucene Sail
  • Improved handling of low memory in the Memory Store
  • Improvements to the Spring Components

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



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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