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SANSA 0.2 (Scalable Semantic Analytics Stack) Released

From: Jens Lehmann <jens.lehmann@cs.uni-bonn.de>
Date: Tue, 13 Jun 2017 17:57:11 +0200
To: semantic-web@w3.org
Message-ID: <f12affb3-b015-514a-b77a-e7c2aa407c82@cs.uni-bonn.de>

Dear all,

The Smart Data Analytics group [1] is happy to announce SANSA 0.2 - the
second release of the Scalable Semantic Analytics Stack. SANSA employs
distributed computing for semantic technologies in order to allow
scalable 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:

* Reading and writing RDF files in N-Triples format
* Reading OWL files in various standard formats
* Querying and partitioning based on Sparqlify
* RDFS, RDFS Simple, OWL-Horst forward chaining inference
* RDF graph clustering with different algorithms
* Rule mining from RDF graphs

Deployment and getting started:

* There are template projects for SBT and Maven for Apache Spark as well
  as for Apache Flink available [2] to get started.
* The SANSA jar files are in Maven Central i.e. in most IDEs you can
  just search for “sansa” to include the dependencies in Maven projects.
* There is example code for various tasks available [3].
* We provide interactive notebooks for running and testing code [4] via

We want to thank everyone who helped to create this release, in
particular the projects Big Data Europe [5],  HOBBIT [6], SAKE [7] and
Big Data Ocean [8].

View this announcement on Twitter and the SDA blog:

Kind regards,

The SANSA Development Team

[1] http://sda.tech
[2] http://sansa-stack.net/downloads-usage/
[3] https://github.com/SANSA-Stack/SANSA-Examples
[4] https://github.com/SANSA-Stack/SANSA-Notebooks
[5] http://www.big-data-europe.eu
[6] https://project-hobbit.eu
[7] https://www.sake-projekt.de/en/start/
[8] http://www.bigdataocean.eu

Prof. Dr. Jens Lehmann
Computer Science Institute       Knowledge Discovery Department
University of Bonn               Fraunhofer IAIS
http://www.cs.uni-bonn.de        http://www.iais.fraunhofer.de
lehmann@uni-bonn.de              jens.lehmann@iais.fraunhofer.de
Received on Tuesday, 13 June 2017 15:57:51 UTC

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