Overview:
Takin.solutions collaborated with Getty Digital (GDI) to create Ogee Arches, a fully open-source, ready-to-deploy implementation of the Linked.Art data model on the Arches platform. The project provides a starter package for institutions and researchers aiming to adopt Linked.Art and CIDOC-CRM standards, lowering barriers to entry for semantic data management in cultural heritage.
Purpose of Our Work:
The Ogee Arches project was designed to give the community a fully implemented, documented, and reusable Linked.Art implementation
in Arches, enabling projects to start immediately with canonical semantic models, standard vocabulary, and clear guidance on best practices. It supports end-to-end semantic data workflows while allowing customization to fit individual project requirements.
Methodology:
- Implemented Linked.Art data models in Arches following the canonical model structure and API specifications
- Developed a defined vocabulary for reference data points, pre-populated with Getty AAT terms and ready for extension
- Produced modular semantic documentation using the Zellij platform, enabling clear understanding and reuse of models, fields, and implementation practices
- Provided guidance on best practices for semantic data modelling, management, and integration
Outcome:
- A ready-to-use Arches package implementing all eleven Linked.Art models, with full semantic documentation and structured reference data
- Facilitated community adoption of Linked.Art, CIDOC-CRM, and semantic data management principles
- Provided a foundation for future projects to extend, prune, or customize models according to their datasets
- Open-source release ensuring broad accessibility and reuse by museums, archives, and research institutions
Takin.solutions’ Role:
Takin.solutions acted as conceptual modelling, semantic documentation, and implementation partner, applying the Semantic Reference Data Modelling (SRDM) methodology to:
- Precisely document the semantic implementation of Linked.Art in Arches
- Ensure accurate, interoperable representation of the models, fields, and reference vocabularies
- Enable reuse, adaptation, and extension of the semantic patterns by the broader community
