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1,785 students
Practical RDF and SPARQL
Intermediate to advanced level RDF, RDFS and SPARQL for knowledge graph development and querying
Created byTish Chungoora
Last updated 4/2026
English
What you'll learn
- Acquire intermediate to advanced level in RDF & SPARQL, including a full understanding of SPARQL Update for CRUD operations
- Apply declarative and automated methods for uplifting an implicit graph vocabulary into an explicit graph schema that utilises RDF Schema (RDFS)
- Perform graph management operations and the querying of default and named graphs
- Build and query RDF Containers and Collections as instance-level structures for providing unordered and ordered groupings of nodes
- Compose federated queries across local and remote databases and performing graph enrichment through query federation and SPARQL Update
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Course content
9 sections • 92 lectures • 5h 16m total length
Requirements
- Basic understanding of knowledge graph technologies
- Foundational skills in RDF and SPARQL
- A pre-installed RDF graph database, e.g. Blazegraph
- Text/code editor, e.g. Notepad++, Visual Studio Code, TextEdit (Mac), Notepad (Windows)
Description
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 graphs
Work with RDFS to design and encode graph schemas and ontology structures declaratively
Write advanced SPARQL queries involving mathematical operations, string functions and custom result outputs
Harness SPARQL Update for schema generation, graph management and entity refactoring
Author and query RDF Containers and Collections with confidence
Issue federated SPARQL queries to interrogate and enrich data across distributed sources
Who this course is for:
This course is aimed at data professionals — architects, engineers, analysts and knowledge graph practitioners — who have completed an introductory course in RDF and SPARQL, or who have equivalent hands-on experience, and are ready to take a meaningful step up in their capabilities. If you're serious about semantic knowledge graph development and want to move from foundational understanding to professional-level fluency, this is the course that gets you there.
Who this course is for:
- Data professionals wishing to acquire a deeper understanding of RDF, RDFS and SPARQL
- Data leaders needing to build unparalleled technical expertise in building and managing W3C-compliant knowledge graphs
- Information and solution architects on the journey of upskilling from traditional data modelling approaches to representing data following Semantic Web standards
- Researchers and academics who are progressing in the field of applied Semantic Web technologies