- From: Jens Lehmann <jens.lehmann@cs.uni-bonn.de>
- Date: Fri, 15 Dec 2017 13:40:11 +0100
- To: semantic-web@w3.org
Dear all, The Smart Data Analytics group [1] is 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 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, Turtle, RDF/XML, N-Quad format * Reading OWL files in various standard formats * Support for multiple data partitioning techniques * SPARQL querying via Sparqlify (with some known limitations until the next Spark 2.3.* release) * SPARQL querying via conversion to Gremlin path traversals (experimental) * RDFS, RDFS Simple, OWL-Horst (all in beta status), EL (experimental) forward chaining inference * Automatic inference plan creation (experimental) * RDF graph clustering with different algorithms * Rule mining from RDF graphs based AMIE+ * Terminological decision trees (experimental) * Anomaly detection (beta) * Distributed knowledge graph embedding approaches: TransE (beta), DistMult (beta), several further algorithms planned Deployment and getting started: * There are template projects for SBT and Maven for Apache Spark as well as for Apache Flink available [2] 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 [3]. * We provide interactive notebooks for running and testing code [4] via Docker. We want to thank everyone who helped to create this release, in particular the projects Big Data Europe [5], HOBBIT [6], SAKE [7], Big Data Ocean [8], SLIPO [9], QROWD [10] and BETTER. View this announcement on Twitter and the SDA blog: http://sda.cs.uni-bonn.de/sansa-0-3/ https://twitter.com/SANSA_Stack/status/941643408300441600 Kind regards, The SANSA Development Team (http://sansa-stack.net/community/#Contributors) [1] http://sda.tech [2] http://sansa-stack.net/downloads-usage/ [3] https://github.com/SANSA-Stack/SANSA-Examples [4] https://github.com/SANSA-Stack/SANSA-Notebooks [5] http://www.big-data-europe.eu [6] https://project-hobbit.eu [7] https://www.sake-projekt.de/en/start/ [8] http://www.bigdataocean.eu [9] http://slipo.eu [10] http://qrowd-project.eu -- Prof. Dr. Jens Lehmann http://jens-lehmann.org http://sda.tech Computer Science Institute Enterprise Information Systems University of Bonn Fraunhofer IAIS http://www.cs.uni-bonn.de http://www.iais.fraunhofer.de lehmann@uni-bonn.de jens.lehmann@iais.fraunhofer.de
Received on Friday, 15 December 2017 12:43:08 UTC