Author Archives: Jens Lehmann

SANSA 0.7.1 (Semantic Analytics Stack) Released

Posted on January 17, 2020 by Jens Lehmann

We are happy to announce SANSA 0.7.1 – the seventh 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 large knowledge graphs. … Continue reading →

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SANSA 0.5 (Semantic Analytics Stack) Released

Posted on December 13, 2018 by Jens Lehmann

We are happy to announce SANSA 0.5 – the fifth 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 large knowledge … Continue reading →

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AskNow 0.1 Released

Posted on September 13, 2018 by Jens Lehmann

Dear all, we are very happy to announce AskNow 0.1 – the initial release of Question Answering Components and Tools over RDF Knowledge Graphs. Website: http://asknow.sda.tech/ Demo: http://asknowdemo.sda.tech GitHub: https://github.com/AskNowQA The following components with corresponding features are currently supported by … Continue reading →

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SANSA 0.4 (Semantic Analytics Stack) Released

Posted on June 26, 2018 by Jens Lehmann

We are happy to announce SANSA 0.4 – the fourth 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 large knowledge … Continue reading →

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SANSA 0.2 (Semantic Analytics Stack) Released

Posted on June 13, 2017 by Jens Lehmann

The AKSW and Smart Data Analytics groups are 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 … Continue reading →

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SANSA 0.1 (Semantic Analytics Stack) Released

Posted on December 9, 2016 by Jens Lehmann

Dear all, The Smart Data Analytics group /AKSW are very happy to announce SANSA 0.1 – the initial release of the Scalable Semantic Analytics Stack. SANSA combines distributed computing and semantic technologies in order to allow powerful machine learning, inference and … Continue reading →

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DL-Learner 1.3 (Supervised Structured Machine Learning Framework) Released

Posted on October 11, 2016 by Jens Lehmann

Dear all, the Smart Data Analytics group at AKSW is happy to announce DL-Learner 1.3. DL-Learner is a framework containing algorithms for supervised machine learning in RDF and OWL. DL-Learner can use various RDF and OWL serialization formats as well as … Continue reading →

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DL-Learner 1.1 (Supervised Structured Machine Learning Framework) Released

Posted on July 22, 2015 by Jens Lehmann

Dear all, we are happy to announce DL-Learner 1.1. DL-Learner is a framework containing algorithms for supervised machine learning in RDF and OWL. DL-Learner can use various RDF and OWL serialization formats as well as SPARQL endpoints as input, can … Continue reading →

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DL-Learner 1.0 (Supervised Structured Machine Learning Framework) Released

Posted on February 13, 2015 by Jens Lehmann

Dear all, we are happy to announce DL-Learner 1.0. DL-Learner is a framework containing algorithms for supervised machine learning in RDF and OWL. DL-Learner can use various RDF and OWL serialization formats as well as SPARQL endpoints as input, can … Continue reading →

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New DBpedia Overview Article

Posted on October 24, 2013 by Jens Lehmann

We are pleased to announce that a new overview article for DBpedia is available. The article covers several aspects of the DBpedia community project: The DBpedia extraction framework. The mappings wiki as the central structure for maintaining the community-curated DBpedia … Continue reading →

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