Practical RDF and SPARQL

About this course

You've got the foundations. Now it's time to go deeper.The RDF and SPARQL specifications have a lot more to offer than the essentials — and this course is designed to take you meaningfully further into them. This is the next step for practitioners who have a working grasp of the fundamentals and are ready to explore the richer, more powerful features of RDF and SPARQL that open up more sophisticated ways of modelling, managing and querying knowledge graph data. Think of it as the natural continuation of your journey.That means getting to grips with the full breadth of RDF for weaving information across multiple graphs, managing those graphs effectively, and working with RDF Schema — RDFS — to declaratively encode graph schema structures and ontologies. These are the capabilities that meaningfully expand what you can do with knowledge graph technologies in practice.Throughout the course, the emphasis is firmly on applied, hands-on learning. You'll work with more extensive, realistic datasets and build SPARQL queries involving mathematical and string operations, customised result outputs and the full power of SPARQL Update — including schema generation with RDFS, graph management and practical tasks like entity refactoring. You'll also learn how to author and query RDF Containers and Collections, and how to issue federated SPARQL queries to interrogate distributed data sources — unlocking richer analytics and enabling knowledge graph enrichment across organisational boundaries.What you will be able to do after this course:Use the full breadth of RDF to build and manage multiple, interconnected knowledge graphsWork with RDFS to design and encode graph schemas and ontology structures declarativelyWrite advanced SPARQL queries involving mathematical operations, string functions and custom result outputsHarness SPARQL Update for schema generation, graph management and entity refactoring