Imagine a giant digital library where museums across Europe can finally speak the same language. Instead of having their data locked in separate folders, they use a shared system that lets them link a statue in Italy to a text in France automatically. It's like turning a collection of scattered notebooks into a searchable, interactive Wikipedia for history that people can explore via VR.
Cultural institutions struggle with fragmented data and incompatible formats, making it impossible to search across different collections or share digital assets efficiently.
A collaborative memory platform featuring AI-assisted enrichment, robotic 3D capture, and a federated knowledge graph based on CIDOC-CRM/IIIF.
If you are an immersive experience provider dealing with static museum exhibits — this project developed AR/VR experiences that connect on-site galleries with remote audiences. This allows you to create virtual tours based on high-quality 3D models and federated data.
If you are a DAM vendor dealing with fragmented metadata across different clients — this project developed a federated knowledge graph using CIDOC-CRM and IIIF. This enables cross-collection discovery and automated semantic enrichment of assets.
If you are an art restoration firm dealing with manual condition tracking — this project developed OCRA for conservation annotation and AI-assisted condition analysis. This streamlines how damage is recorded and monitored over time.
Based on available project data, the software is open-source, meaning there is no direct purchase price for the core code.
Yes, the project uses a modular microservices design and production MLOps to ensure the system is scalable, reliable, and reproducible.
The project specifies that all software is open-source, though specific licensing terms are not detailed in the provided text.
It uses international standards like CIDOC-CRM and IIIF to ensure interoperability and harmonizes assets into a federated knowledge graph.
The project runs from 2026-06-01 to 2028-11-30, with five pilots serving as the primary validation phase.
The consortium is heavily industry-driven, with 9 SMEs and 9 total industry partners (50% industry ratio) across 6 countries. This suggests a strong focus on commercial viability and practical application rather than purely academic research, as only 2 universities are involved compared to 13 industry and research entities.
Contact UBITECH LIMITED in Cyprus
Contact us to find integration partners for the ECCCH toolset.
