Foundations of Knowledge Graphs and Semantic Data

Organizations today are flooded with disconnected data, making it incredibly difficult to extract meaningful insights. Knowledge graphs solve this challenge by linking information in a human-like, machine-readable web of relationships. This text-only course guides you through the foundational concepts of semantic data, helping you transition from a beginner to someone who confidently understands how these technologies organize and power modern data systems. What you will learn: Understand the core concepts of knowledge graphs, semantic webs, and graph databases. Define data relationships using triples and RDF standards. Design schemas and ontologies to standardize domain knowledge using OWL. Query structured graph data efficiently using SPARQL. Explore how modern knowledge graphs integrate with vector databases and artificial intelligence workflows. Apply semantic modeling principles to real-world data integration challenges. We begin with essential terminology and the foundational history of semantic data, progress through structural modeling, and finish by examining modern integration patterns. Designed for beginners, data analysts, and aspiring data engineers with no prior graph database experience. Start reading today to unlock the power of connected semantic data.