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Release Notes

3.3.0

RDF4J 3.3.0 is a minor release that is backward compatible with previous RDF4J releases.

Highlights:

  • A new mechanism for providing per-transaction configuration settings is now available in the Repository and SAIL APIs. Currently used by the ShaclSail.
  • The ShaclSail now supports sh:inversePath (limited to single predicates) and sh:hasValue.
  • Custom SPARQL functions now allow inspection of the triplestore state during evaluation.
  • Improved query plan rendering.
  • Utility functions for working with RDF Containers (Alt, Bag, Seq) added.
  • Experimental support for various new SHACL features (DASH and RSX)
  • Elasticsearch, Lucene and Solr upgrades
  • Support for Java 13 and 14
  • Performance improvements and bug fixes
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3.2.3

RDF4J 3.2.3 is a patch release, fixing several problems with Unicode handling in the Turtle parser, as well as a path expression parsing issue in the SPARQL parser. For a complete overview, see all issues fixed in 3.2.3. This release was made possible by contributions from Elad Shaked, Gilad Hock, and Damyan Ognyanov. For more information about RDF4J contributors, see Who’s involved.
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3.2.2

RDF4J 3.2.2 is a patch release, fixing 7 issues, including several fixes in the SparqlBuilder, the Rio Turtle and RDF/XML parsers/writers, FedX SPARQL binding handling, and more. For a complete overview, see all issues fixed in 3.2.2. This release was made possible by contributions from Abhishek Agarwal, Anmol Singhal, Deepali Chawla, Gauri Bhatanagar, Håvard Ottestad, Ishaan Bassi, Jeen Broekstra, Kaustav Vats, Kritika Venkatachalam, Margarita Hernandez, Raghav Rathi, and Sakshi Saini. For more information about RDF4J contributors, see Who’s involved.
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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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