This course offers a comprehensive introduction to the Resource Description Framework (RDF), the foundational data model of FAIR Knowledge Graphs. It is designed for learners who are new to our RDF world or seeking to strengthen their understanding of how structured data is represented and interpreted in graph-based systems.

We begin by answering the fundamental question: What is RDF? From there, we explore the concept of triples—the building blocks of RDF—and how data is serialized in various formats such as Turtle, RDF/XML, and JSON-LD.

The course then moves into the semantic layer of RDF and RDFS, explaining how meaning is derived from data through formal semantics. You’ll learn how RDF semantics support basic inference and how RDFS introduces vocabulary for describing relationships and hierarchies within data.

By the end of the course, you will understand how RDF enables interoperable, machine-readable data and how its semantic capabilities support reasoning and integration across diverse datasets.

⌨️ This course contains interactive exercises in our web-based RDF editor!