Dear all, The Smart Data Analytics group (http://sda.tech) is happy to announce SANSA 0.6 - the sixth release of the Scalable Semantic Analytics Stack. SANSA employs distributed computing via Apache Spark and Apache Flink in order to allow scalable machine learning, inference and querying capabilities for large knowledge graphs.
Website: http://sansa-stack.net <http://sansa-stack.net/> GitHub: https://github.com/SANSA-Stack <https://github.com/SANSA-Stack> Download: https://github.com/SANSA-Stack/SANSA-Stack/releases <https://github.com/SANSA-Stack/SANSA-Stack/releases> In the latest release, we have included support for a tensor-based RDF representation format including a query engine on top of this, various data quality assessment methods as well as new clustering approaches. You can find the FAQ and usage examples at http://sansa-stack.net/faq/. View this announcement on Twitter and the Sansa blog: http://sansa-stack.net/sansa-0-6/ https://twitter.com/SANSA_Stack/status/1146069652281286661 Kind regards, The SANSA Development Team (http://sansa-stack.net/community/#Contributors) _____________ *Gezim Sejdiu* *PhD Student & Research Associate* *SDA, University of Bonn* *Endenicher Allee 19a, 53115 Bonn, Germany* *https://gezimsejdiu.github.io/ <https://gezimsejdiu.github.io/>* GitHub <https://github.com/GezimSejdiu> | Twitter <https://twitter.com/Gezim_Sejdiu> | LinkedIn <https://www.linkedin.com/in/g%C3%ABzim-sejdiu-08b1761b> | Google Scholar <https://scholar.google.de/citations?user=Lpbwr9oAAAAJ>
