rdf4j

RDF4J 5.0.1 is now available. This is a patch release fixing 8 bugs.

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

Links
Download RDF4J
release notes.

We are very excited to announce the release of RDF4J 5.0.0!

RDF4J 5.0.0 is a major release of the RDF4J framework with many new features and improvements.

Highlights include:

• JSON-LD 1.1 support
• Many improvements to FedX
• Improved SHACL validation with support for sh:closed and pairwise validation
• Stability and performance improvements to the LmdbStore
• Upgrade of MapDB
• More queries with intermediary results are no longer limited by RAM/java heap but disk space available

For more details, including instruction on how to upgrade, see the release notes.

Links
Download RDF4J
release notes

RDF4J 4.3.12 is now available. This is a patch release fixing 5 bugs.

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

Links
Download RDF4J
release notes.

RDF4J 4.3.11 is a patch release that fixes 2 issues.

For a complete overview, see all issues fixed in 4.3.11.

Acknowledgements

This release was made possible by contributions from Richard Eckart de Castilho.

RDF4J 4.3.7 is now available. This is a patch release fixing 6 bugs.

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

Links
Download RDF4J
release notes.

RDF4J 4.3.6 is now available. This is a patch release fixing 4 bugs.

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

Links
Download RDF4J
release notes.

RDF4J 4.3.5 is a patch release that fixes 5 issues.

For a complete overview, see all issues fixed in 4.3.5.

Acknowledgements

This release was made possible by contributions from Manuel Fiorelli and Håvard M. Ottestad.

RDF4J 4.3.4 is a patch release that fixes 2 issues.

For a complete overview, see all issues fixed in 4.3.4.

Acknowledgements

This release was made possible by contributions from Håvard M. Ottestad, Matthew Nguyen, pulquero, Jerven Bolleman and Jeen Broekstra.

RDF4J 4.3.2 is a patch release that fixes 4 issues.

For a complete overview, see all issues fixed in 4.3.2.

Acknowledgements

This release was made possible by contributions from Andreas Schwarte, Johan Van Noten, Håvard M. Ottestad and Borislav Bonev.

RDF4J 4.3 is a minor release that fixes 34 issues.

A few notable features

• Solr, Lucene and Elasticsearch
  • Solr and Lucene are upgraded to 8.9.0 and Elasticsearch is upgraded to 7.15.2
  • Support for complex Lucene queries
  • Support for customizing the query analyzer in Lucene and Elasticsearch
• SHACL
  • A standalone SHACL Validator
  • User defined SPARQL queries in SHACL Constraints and Targets
  • Support for sequence paths and alternate paths
• Migration of more tests to Junit 5
• Remove Java EE dependency from core libraries
• Improvements to the extended query evaluation 1, 2
• Several performance improvements 1, 2, 3, 4

For a complete overview, see all issues fixed in 4.3.

There are no more planned minor releases for 4.x.x. The next planned release is 5.0.0.

Due to a backwards compatibility bug we recommend using 4.3.1.

Acknowledgements

This release was made possible by contributions from Andreas Schwarte, Håvard M. Ottestad, Erik Godding Boye, Jeen Broekstra, Jerven Bolleman, Bart Hanssens, Wolfgang Schell, Mike Glazer, Patrick Wyler and Antoine Willerval.

RDF4J 4.2.4 is a patch release that fixes 6 issues.

For a complete overview, see all issues fixed in 4.2.4.

RDF4J 4.2.3 is a patch release that fixes 9 issues.

For those who are using RDF4J tests in their own code you should note that we are currently working on migrating from JUnit 4 to JUnit 5.

For a complete overview, see all issues fixed in 4.2.3.

Acknowledgements

This release was made possible by contributions from Erik Godding Boye, Dominik Kunz, Håvard M. Ottestad, Martina Dimova, Jeen Broekstra, Tom Dalton, Jerven Bolleman and Dzeri96.

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.

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.

RDF4J 4.2.0 is a minor release introducing support for custom SPARQL aggregate functions as well as several performance improvements and bug fixes.

Aggregate functions

The support for custom SPARQL aggregate functions has allowed us to implement functions for standard deviation and variance using Apache Commons Math3.

Query example

SELECT (<http://rdf4j.org/aggregate#stdev>(?o) AS ?stdev) WHERE { 
    ?s ?p ?o .
}

Performance

More accurate query statistics for the LMDB Store drastically improves query performance. The LMDB Store can already scale to considerably larger datasets than the NativeStore and now also matches the performance for smaller datasets.

Validation performance for small transactions on large databases has been improved by batching together more operations when analyzing the changes in a transaction.

For a complete overview, see all issues fixed in 4.2.0.

RDF4J 4.1.3 is a patch release that fixes 5 issues.

For a complete overview, see all issues fixed in 4.1.3.

Acknowledgements

This release was made possible by contributions from nguyenm100, Håvard Ottestad, Desislava Hristova, pulquero and Wolfgang Schell.

RDF4J 4.1.2 is a patch release that fixes 6 issues.

For a complete overview, see all issues fixed in 4.1.2.

Acknowledgements

This release was made possible by contributions from Jerven Bolleman, Håvard Ottestad, Wolfgang Schell and nguyenm100.

RDF4J 4.1.1 is now available. This 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.

Links

• Download RDF4J
• 4.1.1 release notes
• 4.0.5 release notes

RDF4J 4.1.0 is a minor release that fixes 36 issues.

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 a complete overview, see all issues fixed in 4.1.0.

Download RDF4J

[1] Performance improvements as measured in our benchmarks when compared to 4.0.3.

RDF4J 4.0.3 is a patch release that fixes 2 issues.

For a complete overview, see all issues fixed in 4.0.3.

Acknowledgements

This release was made possible by contributions from Håvard M. Ottestad and Damyan Ognyanov.