Big Data can make important contributions to the technical progress in key societal challenges identified by the European Union in its “Horizon 2020” and thereby also on OpenScience!

A workshop in September 2017 will focus on societal challenge 6 “Europe in a changing world – inclusive, innovative and reflective societies”, with a main focus of OpenScience & (Big) Data Management by introducing the background, covering the main challenges, and seeking real examples of the potential, challenges and complexities of using big data in our societies.

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WHAT: Fifth SC6 Webinar on “European Open Science Agenda: Quo Vadis?”
WHEN: 30.05.2017, 15.00pm CEST

Fifth SC6 webinar was held on 30 May 2017. It was organised by the Consortium of Social Science Data Archives (CESSDA) from Norway and the Semantic Web Company (SWC) from Austria. Theme of the webinar was “European Open Science Agenda: Quo Vadis?” presented by Ron Dekker, Director of CESSDA.
Webinar lasted from 15:00 until 16:10 CET, and 21 people attended (out of 29 registered). General introduction of the Big Data Europe project, as well as final remarks, were provided by 2 moderators: the SC6 domain lead Ivana Ilijasic Versic from CESSDA, and CTO of the SWC and SC6 support technical partner, Martin Kaltenboeck.
Ron Dekker decomposed his presentation into 4 main parts. Presentation started with describing Open Science, its objectives and its tools, followed by the European Commission agenda on Open Science Policy. Then on the re-use of data and importance of standardised Data Management Plans. The presentation ended with a description of CESSDA’ objectives and its work in the context of the European Open Science Cloud.
The final part of the webinar was reserved for Q&A and participants used the opportunity to explore further some of the facts shared with them during the presentation. Webinar was closed with the announcement of related events following in the course of 2017.

Presenter:
Ron Dekker (Director, CESSDA)

Moderators:
Ivana Ilijasic Versic (Chief Operations Officer, CESSDA) together with
Martin Kaltenböck (Managing Partner & CFO, SWC).

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