Overview
Knowledge Graphs help connect heterogeneous data sources into a shared, machine-interpretable layer. This hands-on tutorial introduces the core technologies behind RDF-based knowledge graphs. Throughout the tutorial, participants will learn how to model data with RDF, reuse existing vocabularies, query graphs using SPARQL, ingest data with YARRRML, and validate graph quality using SHACL.
No prior Semantic Web experience is required. The tutorial focuses on practical exercises and gives participants a solid foundation for building interoperable knowledge graphs.
Tutorial Schedule
| Time | Topic | Contents |
|---|---|---|
| 11:00-11:45 | RDF Fundamentals | Triples, graph model, RDF syntax, URIs, literals, RDF Schema, reusing existing vocabularies |
| 11:45-12:30 | SPARQL | Querying RDF, graph patterns, filters, aggregation, hands-on querying exercises |
| 12:30-13:30 | Lunch break | |
| 13:30-14:15 | (YARR)RML | Declarative data mappings, ingestion pipelines, hands-on mapping exercises |
| 14:15-15:00 | SHACL | Data validation, node and property shapes, integrating validation into RDF workflows |
Prerequisities
Participants should bring:
- A laptop (Windows, macOS, or Linux)
- A modern web browser (Chrome, Edge, Firefox, or Safari)
No previous experience with RDF, SPARQL, or ontologies is required.
Presenters
Achim Reiz — neonto GmbH