Advanced RDF & SPARQL
This intermediate-level training teaches several advanced features within Stardog. Learn how Stardog extends SPARQL to find paths between nodes in the RDF graph, which we call path queries. Review how to use full text-search, Stardog Studio’s Provenance, and Stardog’s GeoSPARQL for spatial data. By the end of this training, you’ll be able to centrally manage your queries using Stored Query Service (SQS) and write flexible queries using Named Graph Aliases. You’ll also have an understanding of Stardog’s support for edge properties, and how to best bridge the gap between the RDF data model and the Property Graph data model.
Installation & Setup
This beginner-level training teaches the installation and set-up of Stardog and Stardog Studio on your system. Learn steps on how to install Stardog and Stardog Studio using OSK, Linux & package managers (Debian or RPM), Docker, or Windows. After the installation and set-up is complete, review the run process including how to start the server, connect to it from Studio, and how to shut down the server.
Data Validation and SHACL
Join this Stardog training webinar to learn the basics of SHACL (Shapes Constraint Language) and how to validate RDF graphs with SHACL. This training is intended for those who are familiar with RDF and for those would like to learn how to detect data consistency and quality issues in RDF graphs. SHACL is a W3C recommendation that provides a declarative language for specifying constraints over RDF graphs.
Reasoning with RDF Graphs and Ontologies
This training is intended for those who have some familiarity with RDF and would like to learn how to use reasoning for enriching the RDF graphs with new inferences.