Take your SPARQL skills to the next level in this advanced workshop designed for practitioners who already grasp the basics and are ready to explore the full power of querying RDF data. This session will focus on complex query patterns, complex optimization techniques, reasoning, and real-world scenarios using data from ERA Knowledge Graph. 

Participants will engage in hands-on exercises to practice advanced features like property paths, subqueries, aggregates, and federated queries using ERA Knowledge graph endpoint. You’ll also explore strategies and tips for query performance tuning, working with named graphs, reference data from other sources (e.g., Publications office endpoint). 

Pre-requisite: knowledgeable of RDF or semantics or have registered previously to the master class on ‘SPARQL for Beginners’.

This workshop will introduce participants to the principles and practices of data modelling and ontology engineering in the railway domain, supporting the development of interoperable, machine-readable data ecosystems aligned with EU digital rail initiatives. As the sector advances toward data-driven principles, semantic modelling becomes essential to represent complex railway infrastructures, positioning and location through the rail topology in a consistent manner. The railway infrastructure register will be an example to showcase how the micro-level was derived and integrated into the latest version of ERA ontology. 

In this hands-on workshop, participants will explore the fundamentals of railway infrastructure data modelling using ontologies. This workshop will introduce how semantic technologies can be used to structure, integrate, and reason over complex railway infrastructure data. 

By the end of this workshop, you’ll be equipped to understand the key concepts and modelling choices of the ERA ontology, railway data in a way that is machine-readable, semantically rich, and ready for data-driven innovation in smart rail (infrastructure) systems.  

No prior ontology experience required — just a curiosity for data, ontology and railway domain.

Dive into the world of the Semantic Web with this hands-on masterclass designed for beginners eager to learn SPARQL, the query language of RDF data. This session will guide you through the foundations of Linked Data and how to extract meaningful insights using SPARQL. 

Participants will explore real-world datasets, learn the basic structure of SPARQL queries, understand RDF triples, and get comfortable querying public knowledge graphs such as ERA Knowledge Graph, Reference data at Publications Office. 

No prior experience with SPARQL or Semantic Web technologies is required — just a curiosity for data and a desire to learn!

This master class offers a deep dive into the construction of RDF knowledge graphs using declarative mapping languages such as RML (RDF Mapping Language), YARRRML, and other W3C-aligned technologies. The session will emphasize on scalable, reusable, and maintainable methods for transforming heterogeneous data sources into linked, machine-readable RDF graphs. Participants will explore the full lifecycle of knowledge graph creation — from understanding source data structures (CSV, JSON, XML, relational databases) to writing and executing mappings that produce semantically rich RDF output. Through guided hands-on exercises and real-world examples, you will gain practical experience in aligning data with vocabularies and ontologies, and publishing it as Linked Data.

This workshop offers a foundational overview of the European Union’s Telematics Applications for Freight (TAF) and Telematics Applications for Passengers (TAP) Technical Specifications for Interoperability (TSI). The session will demystify how these specifications enhance data exchange and operational efficiency across European rail networks. The workshop will emphasize on how standardised data exchange improves interoperability between different rail stakeholders.

The workshop will mainly deal with the generic concept for locating railway infrastructure in micro, meso and macro level of detail and additionally, ontology as a tool for validating and verifying this concept (e.g. for Railway infrastructure ...). 

This workshop is addressed to interested parties that want to bring railway infrastructure description into digitalised standardised format using topology models (e.g., ERA ontology) and markup languages (e.g., railML).

As data quality becomes mission-critical in digital ecosystems, this workshop focuses on how semantic technologies can be used to validate data effectively and declaratively. Participants will explore how RDF data can be validated using technologies like SHACL (Shapes Constraint Language) and SPIN, enabling consistency, compliance, and interoperability in knowledge graphs and Linked Data applications. 

Through hands-on examples, this workshop will teach participants how to define constraints on data models, detect errors or inconsistencies, and integrate validation into data pipelines — all using semantic web standards.

This hands-on workshop explores how Linked Data and Semantic Web technologies can streamline and enhance the railway vehicle authorization process across borders and systems. Aimed at professionals in rail transport, regulatory bodies, and data engineering, the session focuses on applying RDF, ontologies, and Linked Data principles to model, share, and validate vehicle data in alignment with EU Rail interoperability regulatory frameworks. 

Participants will learn how to represent key vehicle characteristics, compliance documentation, and authorization workflows using semantic models, improving data interoperability, traceability, and machine-readable compliance checks.

This workshop focuses on the digital transformation of Driver–Signaller communication in the railway sector, a critical area for enhancing safety, efficiency, and interoperability across rail networks. As part of broader efforts in railway digitalisation, the session explores how structured data, semantic technologies, and communication standards can modernise traditional voice-based exchanges. 

Participants will examine how communication events can be digitised, modelled, and validated — enabling better traceability, automation, and integration with operational systems such as traffic management, safety reporting, and driver advisory platforms.

This workshop explores the vision, challenges, and technical enablers of implementing dynamic digital timetables for rail services across the European Union. As mobility becomes more data-driven and passenger expectations evolve, the rail sector must move to deliver a real-time, interoperable, and machine-readable timetables that support seamless journey planning, operational efficiency, and multimodal integration. 

Participants will learn how semantic technologies, Linked Data, and European standards can support the creation, distribution, and querying of dynamic timetable information — enhancing transparency and enabling innovation across national systems.