MatData (matdata.eu) specializes in data consulting services for railway companies, focusing on strategic planning, modeling, and architecture. We handle development, data engineering, and DevOps challenges in the railway sector.
Expertise
🚂 Railway Data Consulting
Strategic Data Planning: Comprehensive data strategy development for railway organizations
Data Modeling & Ontology Engineering: Semantic web technologies, Linked Data, RDF, and SPARQL
IT Architecture: Railway-specific infrastructure and interoperable systems design
Standards & Interoperability: Active involvement in railML, OpenRail, and ERA ontology initiatives
🔧 Technical Implementation
Data Engineering: Hands-on implementation of data pipelines and integration solutions
DevOps: Infrastructure automation and deployment for railway data systems
GIS & Spatial Data: Geographic information systems and measurement system design
GNSS Train Positioning: Advanced train positioning and post-processing solutions
📊 Knowledge & Innovation
Semantic Technologies: Knowledge graphs, SHACL validation, and GeoSPARQL for spatial queries
Railway Standards: Deep knowledge of railway systems and European rail infrastructure
Open Source Collaboration: Active contributor to railway data standardization and open-source projects
Services
Data strategy consulting for railway companies
Railway data modeling and ontology development
Training and workshops for data teams
Technical implementation and DevOps support
GIS and spatial data solutions
Get in Touch
Visit matdata.eu to learn more about our consultancy services and expertise in railway data solutions.
MatData - Driving innovation in railway data management and interoperability
Slides for ‘Building the Norwegian Railway Knowledge Graph, where the Semantic Web stack runs off the track’ at Connected Data London 2026: Bane NOR’s production railway knowledge graph (DIM), topology first, lift/uplift with SHACL rules (Slidev)
Fast map and faceted search over the EU railway infrastructure register (ERA RINF): every infrastructure element, PROD and UAT, auto-updated from ERA’s datasets. PostGIS, FastAPI, MapLibre, docker-compose.
Slidev deck for ERA: issues in the TAF/TAP TSI telematics source schemas, how the telematics ontology pipeline copes, and what remains for the schema owners
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