[DL-Learner discussion] SANSA 0.1 (Scalable Semantic Analytics Stack) Released

[Jens L. <le...@in...>]

Dear all,

the Smart Data Analytics group [1] is happy to announce SANSA 0.1 - the
initial release of the Scalable Semantic Analytics Stack. SANSA combines
distributed computing and semantic technologies in order to allow
powerful machine learning, inference and querying capabilities for large
knowledge graphs.

* Website: http://sansa-stack.net
* GitHub: https://github.com/SANSA-Stack
* Download: http://sansa-stack.net/downloads-usage/
* ChangeLog: https://github.com/SANSA-Stack/SANSA-Stack/releases

You can find the FAQ and usage examples at http://sansa-stack.net/faq/.

The following features are currently supported by SANSA:

* Support for reading and writing RDF files in N-Triples format
* Support for reading OWL files in various standard formats
* Querying and partitioning based on Sparqlify
* Support for RDFS/RDFS Simple/OWL-Horst forward chaining inference
* Initial RDF graph clustering support
* Initial support for rule mining from RDF graphs

We want to thank everyone who helped to create this release, in
particular the projects Big Data Europe [2],  HOBBIT [3] and SAKE [4].

View this announcement on Twitter and the SDA blog:

  http://sda.cs.uni-bonn.de/sansa-0-1/
  https://twitter.com/SANSA_Stack/status/807231614086479872

Kind regards,

The SANSA Development Team
(http://sansa-stack.net/community/#Contributors)

[1] http://sda.tech
[2] http://www.big-data-europe.eu
[3] https://project-hobbit.eu
[4] https://www.sake-projekt.de/en/start/


-- 
Prof. Dr. Jens Lehmann
http://jens-lehmann.org
Computer Science Institute       Knowledge Discovery Department
University of Bonn               Fraunhofer IAIS
http://www.cs.uni-bonn.de        http://www.iais.fraunhofer.de
le...@un...              jen...@ia...