BigDataEurope and the Societal Challenge on Transport

When: 14^th September 2017, 10:00 – 16:00
Where: ERTICO-ITS Europe, Blue Tower – Avenue Louise 326, Brussels, Belgium
Organisers: ERTICO – ITS Europe, Fraunhofer IAIS
Contacts: Maxime Flament – m.flament@mail.ertico.com, Simon Scerri – scerri@iai.uni-bonn.de

Workshop Objectives

• Demonstrate the value of the recently launched Platform by showcasing the pilot;
• Collect feedback from stakeholders requiring transport solutions on how the platform can be extended to increase its value and facilitate further applications.

On June 14, BigDataEurope’s Transport Societal Challenge (SC4) held their first hangout for 2017 entitled Empowering Mobility Management with Big Data. The hour-long webinar was also the first organised by SC4 after the launch of BigDataEurope’s open-source Integrator Platform (BDI) in May.

The webinar, which was attended by over 20 people with Maxime Flament of ERTICO moderating, gave a status update of BigDataEurope’s Integrator Platform and Transport Challenge’s pilot work on streaming sensor network and geospatial data integration using the BDI. A live demo also highlighted SC4’s latest work at the pilot site in Thessaloniki.

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