Category Archives: Software Releases

DL-Learner 1.4 (Supervised Structured Machine Learning Framework) Released

Posted on September 24, 2019 by Simon Bin

Dear all, The Smart Data Analytics group [1] and the E.T.-db-MOLE sub-group located at the InfAI Leipzig [2] is happy to announce DL-Learner 1.4. DL-Learner is a framework containing algorithms for supervised machine learning in RDF and OWL. DL-Learner can … 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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SML-Bench 0.2 Released

Posted on May 11, 2017 by Patrick Westphal

Dear all, we are happy to announce the 0.2 release of SML-Bench, our Structured Machine Learning benchmark framework. SML-Bench provides full benchmarking scenarios for inductive supervised machine learning covering different knowledge representation languages like OWL and Prolog. It already comes … Continue reading →

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OntoWiki 1.0.0 released

Posted on October 5, 2016 by NatanaelArndt

Dear Semantic Web and Linked Data Community, we are proud to finally announce the releases of OntoWiki 1.0.0 and the underlying Erfurt Framework in version 1.8.0. After 10 years of development we’ve decided to release the teenager OntoWiki from the … Continue reading →

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LinkedGeoData: New RDF versions of OpenStreetMap datasets available

Posted on January 13, 2016 by Claus Stadler

The AKSW research group is happy to announce that a new LinkedGeoData maintenance release with more than 1.2 billion triples based on the OpenStreetMap planet file from 2015-11-02 is now online. Enjoy! Quick Links Project Website Downloads SPARQL Endpoint Virtual … 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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RDFaCE 0.7 Schema.org edition released…

Posted on May 11, 2014 by AliKhalili

In order to stay up to date with the current changes in TinyMCE, WordPress and Schema.org, we released a new version of our RDFaCE editor for semantic content authoring. The new version of RDFaCE comes with the following main changes: … Continue reading →

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AKSW Colloquium with NIF Release Preparation on Monday, February 10

Posted on February 7, 2014 by KonradHoeffner

NIF Release Preparation On Monday, February 10, at 1.30 pm in room P702 (Paulinum of the University of Leipzig main building at the Augustusplatz), Sebastian Hellmann will present the Natural Language Processing (NLP) Interchange Format (NIF) which is based on … Continue reading →

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Preview release of conTEXT for Linked-Data based text analytics

Posted on January 17, 2014 by AliKhalili

We are happy to announce the preview release of conTEXT — a platform for lightweight text analytics using Linked Data. conTEXT enables social Web users to semantically analyze text corpora (such as blogs, RSS/Atom feeds, Facebook, G+, Twitter or SlideWiki.org … Continue reading →

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