Semantic Web Technologies and Knowledge Graphs for Beginners

The web is full of unstructured information that computers cannot easily understand or connect. By structuring data semantically, we can link information across the globe, enabling smarter search, better data integration, and powerful knowledge discovery. This text-only course guides you through the core standards of the Semantic Web and ontology engineering. You will learn how to represent data using RDF, query it with SPARQL, and build foundational vocabularies to model real-world domains. What you'll learn: Understand the core principles of the Semantic Web, Linked Data, and knowledge representation; Write and interpret Resource Description Framework (RDF) statements using common serialization formats; Query semantic data repositories effectively using SPARQL graph patterns; Design basic ontologies and taxonomies using Web Ontology Language (OWL); Connect decentralized data sources to build cohesive, accessible knowledge graphs. The course begins with foundational definitions of metadata and graph-based data models before progressing to practical syntax, querying techniques, and modern knowledge graph design. You will read clear explanations and study structured examples that build your skills step-by-step. Designed for beginners in data architecture, web development, or information science, with no prior experience in semantic technologies required. Start reading today to unlock the potential of structured, interconnected data.