Querying RDF Graphs with SPARQL: Learn with Transit Network Data

As the web of data grows, traditional relational databases often struggle with highly interconnected information. Learning how to query Resource Description Framework (RDF) graphs using SPARQL unlocks the power of semantic web technologies and modern graph databases. This text-based course guides you from absolute beginner to confidently writing your own graph queries. By working through practical examples modeled on real-world transit networks, you will learn how to navigate nodes, edges, and properties. You will start with foundational semantic web concepts and terminology before moving on to hands-on query construction, ensuring a solid theoretical and practical grounding. What you'll learn: - Understand the core principles of RDF, triples, and semantic graph databases. - Write basic SPARQL queries to select, filter, and order graph data. - Query complex relationships, types, and properties using graph patterns. - Apply advanced SPARQL operations such as OPTIONAL, UNION, and string matching. - Explore modern graph serialization formats, including Turtle and JSON-LD. - Practice constructing queries on a transit network dataset to find stations, lines, and routes. Through step-by-step written explanations and structured query snippets, you will learn to extract meaningful insights from structured graph data. This course is designed for beginners, developers, and data analysts who want to learn graph querying from scratch. No prior experience with SPARQL or semantic technologies is required. Start reading today to master the fundamentals of semantic graph queries.