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RDF4J 3.5.0 is a minor release with about 29 improvements and bug fixes.

Some highlights:

  • new static factory methods for easier creation of IRIs, Literals, and blank nodes;
  • new modules rdf4j-model-api and rdf4j-model-vocabulary for leaner dependency footprint in lightweight projects;
  • support for the java.time API;
  • custom character encoding in writers for RDF or query results;
  • improved performance of remote SPARQL query result pass-through;
  • improved performance of sorting and ordering operations in SPARQL query processing;
  • support for Java 15;

For a complete overview, see all issues fixed in 3.5.0.

Upgrade notes

RDF4J 3.5.0 is binary compatible with older RDF4J releases.

Nevertheless, when upgrading existing projects, the following should be taken into account:

Maven dependencies

The rdf4j-model module has been split into three separate modules: rdf4j-model-api, rdf4j-model-vocabulary, and rdf4j-model.

If your project does not use transitive dependency resolution for the RDF4J modules, you will need to add two new additional dependencies to your project configuration:



This release was made possible by contributions from Allesandro Bollini, Jerven Bolleman, Andreas Schwarte, Bart Hanssens, Anqit Praqash, Erik Godding Boye, Håvard M. Ottestad and Jeen Broekstra.


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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