Building Graph Walk Explorers with Elixir and SPARQL

Navigating interconnected web data can be challenging with traditional relational databases. By leveraging RDF graphs and SPARQL queries, you can unlock the power of the semantic web directly inside your Elixir applications. This text-based course guides you through building a structured graph explorer from scratch. You will learn to query public endpoints, navigate complex semantic relationships, and parse graph data using clean, modern Elixir development patterns. What you'll learn: - Understand the fundamentals of RDF graphs, triples, and semantic web concepts - Write efficient SPARQL queries to retrieve structured data from DBpedia - Connect Elixir applications to external SPARQL endpoints using modern HTTP patterns - Apply Elixir pattern matching to parse and transform complex graph query results - Implement a graph walk algorithm to browse connected nodes step-by-step - Practice robust error handling and data validation for semantic web integrations You will start with core definitions of graph structures and SPARQL syntax before moving into hands-on written tutorials that show you how to structure, run, and parse queries in Elixir. This course is perfect for Elixir developers new to the semantic web and anyone interested in graph databases. Basic familiarity with Elixir syntax is helpful, but no prior graph database knowledge is required. Begin reading today to start exploring the semantic web with Elixir.