Querying RDF Graphs: SPARQL and Graph Walks in Elixir

Semantic web technologies and graph databases are essential for managing highly interconnected, real-world data. If you want to query linked data sources like DBpedia and traverse complex relationship networks, understanding RDF and SPARQL is the key. This text-based course guides you from the absolute basics of semantic web concepts to executing graph traversal queries in Elixir. You will learn to parse triples, construct SPARQL queries, and programmatically walk graph structures to extract meaningful insights. What you'll learn: - Understand foundational RDF concepts, including triples, URIs, and graph structures. - Write SPARQL queries to filter, project, and aggregate semantic data. - Navigate and query open datasets like DBpedia using standard endpoints. - Implement graph traversal and walk algorithms programmatically in Elixir. - Apply modern Elixir pattern matching and data structures to parse and process query results. You will begin with core semantic web terminology and fundamental definitions before moving on to hands-on query composition and Elixir integration. Through clear written explanations and structured code walkthroughs, you will develop a practical workflow for working with linked data. This course is designed for beginner developers, data enthusiasts, and Elixir programmers looking to explore graph databases and semantic querying. No prior experience with RDF or SPARQL is required. Start exploring the power of linked data and graph querying today.