Project Context / Objective:
The STAGE Project, under the leadership of Prof. Clarisse Bardiot at Université Rennes 2, aimed to create an extension of the Linked.Art semantic data model to better capture performing arts data — addressing a significant gap in existing cultural heritage standards. The goal was to provide a structured framework for documenting performing arts works, performances, and related entities, enabling richer data interoperability and supporting Linked Data initiatives across the cultural sector.
Takin.Solutions’ Role / Contributions:
Takin.Solutions acted as consulting partner, supporting the co-development of semantic reference data models for performing arts. Working closely with the STAGE project team, we provided guidance, documentation, and structured representations aligned with Linked.Art while addressing the unique requirements of performing arts data.
Key Activities:
- Co-developed semantic reference data models extending Linked.Art for the performing arts domain.
- Produced comprehensive documentation in Zellij to support model understanding and reuse.
- Created JSON-LD representations of all models for technical interoperability.
- Developed example diagrams and documentation in Draw.io and other visual formats.
- Supported issue generation and review processes for submission to the Linked.Art community.
Deliverables / Outputs:
- Semantic reference data models for performing arts, fully documented in Zellij.
- JSON-LD representations of all models for integration with Linked Data systems.
- Example diagrams and documentation in Draw.io.
- Guidance and support materials for Linked.Art community approval.
Outcome / Impact:
The project enabled Université Rennes 2 to extend Linked.Art to comprehensively represent performing arts data for the first time. The deliverables provide the university and the broader Linked.Art community with reusable, semantically robust models that facilitate documentation, interoperability, and knowledge sharing in the performing arts domain. All outputs are published under a Creative Commons BY 4.0 licence, ensuring wide accessibility and full alignment with Linked.Art community standards.
