SPARQL Fundamentals: Querying RDF Graph Data

The Semantic Web and graph databases rely on Resource Description Framework (RDF) to represent complex, interconnected data. To unlock the value of this data, you need to know how to query it effectively using SPARQL, the standard query language for RDF. This text-based course guides you from absolute beginner to confidently writing SPARQL queries. You will start with the fundamental concepts of triple stores and RDF graphs before moving on to practical query construction, filtering, and data aggregation. What you'll learn: - Understand the core structure of RDF triples, graph data, and semantic web standards; - Write basic SPARQL queries using SELECT, WHERE, and graph patterns; - Filter and restrict query results using operators, regular expressions, and property paths; - Aggregate and group data to generate summaries and analytical insights; - Query external linked data and combine multiple datasets using federated queries; - Apply best practices for structuring and optimizing graph queries. You will begin by mastering essential terminology and RDF graph concepts. From there, you will progress through written explanations and practical query-building exercises, exploring advanced techniques like property paths and federation. This course is designed for beginners, data analysts, and developers new to semantic technologies, with no prior knowledge of RDF or graph databases required. Start reading today to master the fundamentals of querying graph databases with SPARQL.