SPARQL Fundamentals Training in Kraków, Poland

This course introduces participants to SPARQL, the query language for RDF (Resource Description Framework). It covers the basics of semantic data representation, SPARQL syntax, and query structures, enabling participants to query, filter, and manipulate RDF data. Through hands-on practice, learners will gain confidence in writing queries against RDF datasets and open knowledge graphs.

Introduction and Core Querying

Module 1: Introduction to SPARQL and RDF

• RDF triples and graph-based data representation
• Importance of SPARQL in the Semantic Web
• SPARQL vs SQL – similarities and differences
• Overview of SPARQL endpoints and tools

Module 2: Basic SPARQL Query Structure

• Anatomy of a SPARQL query (PREFIX, SELECT, WHERE)
• Writing first simple queries against RDF data
• Activity

Module 3: Filtering and Pattern Matching

• Using FILTER with conditions
• Working with literals, strings, numbers, and dates
• Pattern matching in WHERE clause
• Activity

Module 4: Practical Hands-On with Public Data

• Introduction to DBpedia and Wikidata SPARQL endpoints
• Writing simple SELECT queries against DBpedia
• Activity

Advanced Querying and Applications

Module 5: Intermediate Query Features

• OPTIONAL and UNION clauses
• Working with multiple patterns
• Activity

Module 6: Advanced SPARQL Queries

• ASK queries for checking data existence
• DESCRIBE queries for exploring resources
• CONSTRUCT queries for creating new RDF graphs
• Activity

Module 7: Aggregation and Ordering

• Using COUNT, SUM, GROUP BY, ORDER BY
• Pagination with LIMIT and OFFSET
• Activity

Module 8: SPARQL in Applications and Next Steps

• Using SPARQL with APIs and applications
• Integrating SPARQL queries into web and enterprise apps
• Challenges and best practices for writing efficient queries
• Wrap-up: Recap, assessment, and learning roadmap