WP5: Ontology and Neuro-symbolic AI
MOAFDITO is a formal ontology developed to support semantic interoperability for manufacturing-oriented digital twins.
It provides a structured vocabulary and machine-interpretable relationships for describing factory environments, processes, resources, roles, and operational dependencies.
MOAFDITO aims to:
- Provide a shared semantic model for factory digital twins
- Enable interoperability between heterogeneous manufacturing data sources
- Support reasoning over processes, machines, materials, and roles
- Facilitate integration with linked data, knowledge graphs, and AI-driven analytics
- Formal language: OWL 2
- Serialisation: RDF/XML
- Focus: Manufacturing processes, resources, roles, locations, and dependencies
Click on the badge to interact with the code for:
MOAFDITO is designed to use processes, products and routes in a factory digital twin, to create real-time as well as static knowledge graphs, provide semantically validated workflows, and AI-based digital twin prototypes requiring interoperable and trustworthy data.
An interactive visualisation of the ontology is available via WebVOWL:
🔗 https://z-arghavan.github.io/MOAF-DiT/webvowl/
This ontology is part of the Multi-Ontology AI-based Facility Digital Twin (MOAF-DiT) project at Eindhoven University of Technology.
Project details can be found on TU/e’s research portal: https://research.tue.nl/en/projects/moaf-dit/
The WP5 is conducted by Dr. Arghavan Akbarieh and led by Prof. Dr. Bige Tunçer .
- Arghavan Akbarieh: https://research.tue.nl/en/persons/arghavan-akbarieh/
- Bige Tunçer: https://research.tue.nl/en/persons/bige-tun%C3%A7er/
The ontology was assessed using OOPS! (Ontology Pitfall Scanner!) to identify common modelling pitfalls and syntax errors. Identified errors were reviewed and adjusted if needed. Human-readable documentation for MOAFDITO was generated using WIDOCO.
This ontology is released under an open MIT licence. Please check the repository for licence details and cite this repo in publications.
Questions, feedback, and collaboration requests are welcome via GitHub issues.
References:
- Poveda-Villalón, M., Gómez-Pérez, A., & Suárez-Figueroa, M. C. (2014). OOPS!: An On-line Tool for Ontology Evaluation.
- Garijo, D. (2017). WIDOCO: A Wizard for Documenting Ontologies.