Tag Archives: big data

SANSA 0.3 (Semantic Analytics Stack) Released

Posted on December 18, 2017 by Simon Bin

Dear all, We are happy to announce SANSA 0.3 – the third release of the Scalable Semantic Analytics Stack. SANSA employs distributed computing via Apache Spark and Flink in order to allow scalable machine learning, inference and querying capabilities for … Continue reading →

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AKSW Colloquium, 03.04.2017, RDF Rule Mining

Posted on March 31, 2017 by TommasoSoru

At the AKSW Colloquium, on Monday 3rd of April 2017, 3 PM, Tommaso Soru will present the state of his ongoing research titled “Efficient Rule Mining on RDF Data”, where he will introduce Horn Concerto, a novel scalable SPARQL-based approach … Continue reading →

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Kick-Off for the BMWi project SAKE

Posted on February 3, 2015 by admin

Hi all! One of AKSW’s Big Data Project, SAKE – Semantische Analyse Komplexer Ereignisse (SAKE – Semantic Analysis of Complex Events) kicked-off in Karlsruhe. SAKE is one of the winners of the Smart Data Challenge and is funded by the … Continue reading →

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