RDF provides us with the graph model to connect data into W3C-compliant graphs and SPARQL enables us to query the information to answer business questions. In the journey to becoming proficient with the technology in order to utilise it beyond the boundaries of 'pet projects' and proofs of concept, there is a lot more to get to grips with in terms of using the full breadth of RDF for weaving information into multiple graphs and managing these graphs.

This course is intended to help you build on top of your foundational understanding of RDF and SPARQL and get hands-on with intermediate to advanced level concepts and features of RDF and SPARQL. This also requires working with RDF Schema (RDFS) in order to declaratively encode graph schema (ontology) structures.

Therefore, this course will help you achieve your next milestone as a graph data worker who needs to become much more adept at developing and querying Semantic Web-based knowledge graphs.

In this course, you'll be working with more extensive datasets and issuing SPARQL queries involving mathematical and string operations and customising result outputs. You'll also harness the true power of SPARQL Update for schema generation (aided with RDFS), graph management, including useful tasks like entity refactoring.

You'll also learn how to author and efficiently query structures like RDF Containers and Collections and issue SPARQL federated queries to interrogate distributed data sources to gain richer analytics and perform knowledge graph enrichment.

Overall, if you love techy stuff, are a big fan of Semantic Web-based knowledge graph technologies and want to gain a step-change in your skillset, then this is one course not to miss out on!