The Smart Data Analytics group is 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 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 format
- Reading OWL files in various standard formats
- Querying and partitioning based on Sparqlify
- RDFS/RDFS Simple/OWL-Horst forward chaining inference
- RDF graph clustering with different algorithms
- Rule mining from RDF graphs
Deployment and getting started:
- There are template projects for SBT and Maven for Apache Spark as well as for Apache Flink available 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.
- We provide interactive notebooks for running and testing code via Docker.
We want to thank everyone who helped in the creation of this release.