What can users do with the Knowledge Graph?
The Knowledge Graph can support questions such as:
- Which infrastructure characteristics are available for a railway route?
- Which tracks use a particular electrification or signalling system?
- Where are specific gauging profiles available?
- Which infrastructure parameters are missing or incomplete?
- How are operational points connected through sections of line?
- Which infrastructure characteristics may be relevant to route-compatibility checks?
- Which infrastructure characteristics may be relevant to create a digital route book?
- How can RINF information be combined with other European datasets?
- How can machines send future-proof vehicle data for faster verification and authorisation?
Featured Data Stories
A Data Story turns one of these questions into a plain-language explanation, a query, a result and a visualisation — no SPARQL required to read it. Each story is stored under a stable identifier in the Data Stories catalogue; the corporate website links to the story, never to a long, encoded query URL.
How many kilometres of railway tunnel does each country report? Combines tunnel identification and length records across every national infrastructure manager, removing duplicate reports of the same physical tunnel. Explore →
Which railway lines are electrified, and with which energy supply system? Matches sections of line to their energy-system parameters — relevant for planning cross-border journeys and multi-system rolling stock operation. Explore →
Where can vehicles of a given wheel-set gauge run? Surfaces the gauging parameters recorded per section of line — relevant for standard-gauge, Iberian-gauge and other rolling-stock compatibility checks. Explore →
Which lines support ETCS, and at what baseline and level? Reports the ETCS baseline and level recorded per section — a first step in checking route compatibility for ERTMS-equipped trains. Explore →
Which operational points have no recorded connection to the rest of the network? Flags operational points that appear isolated in the data — useful for spotting genuine dead-end sidings as well as data-quality gaps worth reporting back to the infrastructure manager. Explore →