Querying RDF Graphs with SPARQL in Elixir

As graph databases and semantic web technologies grow, connecting your applications to RDF data sources is becoming an essential skill. Navigating semantic queries can feel daunting if you do not know how to bridge the gap between functional programming and graph databases. This course teaches you how to construct, execute, and process SPARQL queries on RDF graphs within the Elixir ecosystem. You will gain the confidence to integrate semantic data sources into your Elixir projects using modern, idiomatic patterns. What you'll learn: - Understand the foundational concepts of RDF graphs, triples, and semantic data structures. - Write clean SPARQL queries to select, filter, and structure graph database results. - Configure and use the sparql_client package to connect Elixir applications to remote SPARQL endpoints. - Parse and transform query results using idiomatic Elixir pattern matching and data structures. - Apply modern Elixir practices, such as asynchronous queries and robust error handling, to semantic data workflows. The course starts with key terminology, basic concepts, and foundational definitions of RDF and SPARQL before guiding you through hands-on Elixir code examples. You will progress from simple data retrieval to handling complex graph queries and parsing the results into native Elixir maps and structs. Designed for Elixir developers who are new to graph databases, RDF, or SPARQL, this text-based guide requires no prior experience with semantic web technologies. Start reading today to unlock the power of graph databases in your Elixir applications.