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.
IRI Description http://rdf4j.org/aggregate#stdev Standard deviation using sampling. http://rdf4j.org/aggregate#stdev_population Standard deviation using statistical population. http://rdf4j.
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.
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.