What is IMF?
Information Modelling Framework (IMF) is an engineer-friendly language to build precise information models of engineering systems.
Think of IMF as a “digital twin” for your system’s knowledge. IMF models contain accurate information across engineering disciplines:
What parts make up a larger system (e.g., “Pump-101 is partOf the Cooling System”).
How parts are connected (e.g., “Pipe-A is connectedTo Pump-101’s outlet”).
What requirements are met (e.g., “Pump-101 fulfills Requirement-4.5.2″).
Where things are physically located (e.g., “Valve-5 is locatedIn Zone-B”).
In short, IMF is a cross-disciplinary language for engineers to create a digital model of their systems, not as 3D shapes, but as a collection of connected system elements, attributes, and relationships.
Technically, IMF uses open-standard knowledge graphs and semantic technologies, such as RDF, OWL and SHACL, for the representation and management of data and models. This allows IMF models to be exchanged, integrated with other information sources, and queried and reasoned over using standards-based toolkits.
Why do we need IMF?
As an engineer, you have likely faced these problems:
Key information is scattered across thousands of PDFs, outdated specification data sheets, and incompatible Excel files.
You’re not sure if the P&ID you’re looking at is the final, as-built version.
It’s almost impossible to trace a single requirement from the design brief all the way to the physical component that fulfills it.
Answering a “simple” question like “What other systems are affected by this pump?” can take days of research.
IMF solves this by enabling a single, digital, trustworthy source of truth for engineering information.
When your system knowledge is in a standard, machine-readable model, you can instantly query, validate, and share it. This prevents knowledge from being trapped in static documents and ensures everyone is working from the same data.
As a data manager, you face the challenge of aligning information coming from multiple engineering disciplines, each using different formats, naming conventions, and legacy systems. IMF solves this by providing a unified, standards-based modelling language that normalizes data at the semantic level, making it consistent, interoperable, and machine-readable.
With IMF, you can govern data more effectively, enforce structure through SHACL validation, reduce duplication, and ensure that all engineering information flows into a single, queryable knowledge graph. This not only improves data quality and traceability but also enables seamless integration with downstream IT systems, analytics platforms, and digital twins.