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Release Notes

4.3

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.
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5.0.1

RDF4J 5.0.1 is a patch release that fixes 8 issues. For a complete overview, see all issues fixed in 5.0.1. Security The following dependencies and/or transitive dependencies have been updated to address security vulnerabilities: Upgraded spring to 5.3.37 Upgraded snappy-java to 1.1.10.5 Upgraded netty to 4.1.111 These upgrades fix several issues reported in various CVEs (more details can be found in the RDF4J github issue list ). While these vulnerabilities may or may not affect the security of RDF4J itself in a real-world environment, users are nevertheless recommended to consider upgrading to the latest version of RDF4J.
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5.0.0

RDF4J 5.0.0 is a major release of the Eclipse RDF4J framework. Some highlights: Replacement of the custom Iteration interface with Java Iterable/Iterator Replacement of old openrdf.org config vocabulary IRIS with new rdf4j.org vocabulary Improved SHACL validation with support for sh:closed and pairwise validation Upgrade of MapDB More queries with intermediary results are no longer limited by RAM/java heap but disk space available Improve performance, query throughput and correctness in a transparent federation by refining various evaluation strategies (bind joins, property paths, limit pushing, …) JSON-LD 1.
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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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