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Thu, Feb 27, 2020

We are pleased to announce the release of RDF4J 3.1.1. This is a patch release with a number of bug fixes. See the release notes for more details.


Thu, Feb 6, 2020

We are very pleased to announce the release of RDF4J 3.1.0. This is a minor release, addressing over 60 issues, including a number of major new features and improvements. Some of the highlights:

  • Integrated support for sophisticated federated querying through FedX.
  • The ElasticSearchStore, a new experimental storage backend.
  • QueryResult and RepositoryResult objects now implement Java Iterable, making client code simpler and smoother.
  • Helper functions for stripping away context / named graph info from Statement and Model objects.

See the release notes for more details.


Sat, Jan 18, 2020

The second milestone build of the upcoming 3.1 release of RDF4J is now available for download.

RDF4J 3.1.0 is a minor release with a number of new features and improvements. Some of the highlights:

  • Integrated support for sophisticated federated querying through FedX.
  • The ElasticSearchStore, a new experimental storage backend.
  • QueryResult and RepositoryResult objects now implement Java Iterable, making client code simpler and smoother.
  • Helper functions for stripping away context / named graph info from Statement and Model objects.

This second milestone build is not yet feature-complete, but we are putting it out to receive early feedback on these two major new features, as well as on any of the other improvements we have put in.


Welcome

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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