The Smart Data Analytics group 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 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.
• We provide interactive notebooks for running and testing code via Docker.

We want to thank everyone who helped in the creation of this release.

SANSA Development Team

Dear colleague,

On behalf of the BigDataEurope project (BDE), we would like to invite you to our next SC5 webinar (online hangout), to take place on Tuesday, 4 July 2017, at 11:00 CET. The webinar will take up to one hour.

During this online hangout, we will present the 2nd BDE SC5 pilot, which is a methodology for rapid estimation of the location of an unknown source emitting a hazardous substance in the atmosphere. The pilot is an alternative to the classic inverse “source-term” estimation methods that are rather computationally slow to be applied at the first stages of emergency management. The pilot is based on prior analysis of multiple years of weather data, of corresponding calculated atmospheric dispersion from a number of potential emission sources and of measurements indicating the presence of the substance. The specific use case concerns nuclear events and therefore considers dispersion from hypothetical accidents in European nuclear power plants.

During the webinar, we will present the scope and background of the pilot, the methodologies employed, the data and results. The user-interface and functionality will be demonstrated and the participants will have the opportunity for a hands-on testing.

A provisional agenda is as follows:

1. Scope of the pilot, rationale and background
2. Methodology, data and results
3. Demonstration of functionality and hands-on testing
4. Open discussion

You can register (for free) by filling in the registration form at

Register now!

We are looking forward to your participation.

Kind regards,

The NCSR Demokritos BDE SC5 team

NCSR “Demokritos” has taken the opportunity to present the 2nd SC5 BDE pilot at the European Geosciences Union General Assembly 2017 (EGU’17), which is taking place in Vienna, Austria (23-28 April 2017).

The BDE contribution was titled “Identifying Patterns in the Weather of Europe for Source Term Estimation” and was presented on Tuesday 25 April at the session ESSI3.2 on Earth science on Cloud, HPC and Grid. After the short PICO presentation we’ve had the chance to discuss the goals and methodology of the SC5 pilot, as well as how the BDE platform has enabled its implementation.