Project Context / Objective:
The Victoria and Albert Museum (V&A) sought to enhance the interoperability of its digital collections by implementing the Linked.Art 1.0 standard, enabling structured, semantically rich data exchange across cultural heritage platforms. The museum’s existing Index+ API provided comprehensive object data, but a detailed mapping to Linked.Art was required to support consistent integration, semantic querying, and interoperability with external systems.
Takin.Solutions’ Role / Contributions:
Takin.Solutions collaborated with V&A to create a comprehensive mapping from the Index+ API data to Linked.Art models. Using our expertise in semantic modeling, we helped identify fine-grained mappings for each source API field to its corresponding Linked.Art target and highlight issues where direct matching of the source data and the target model faced issues.
Key Activities:
- Developed a tag list to support data mapping across all object data fields.
- Created initial semantic mappings from Index+ API fields to Linked.Art 1.0 standards.
- Conducted interactive online sessions with V&A stakeholders to explain, review, and refine the mappings.
- Iteratively adjusted the mapping based on feedback until client approval was received.
Deliverables / Outputs:
- V&A Data Model to Linked.Art Mapping File, documenting all field-level mappings for immediate integration into Linked.Art-compliant systems.
Outcome / Impact:
The project provided V&A with a robust, fully validated semantic mapping that enabled seamless adoption of the Linked.Art standard. This work enhanced the interoperability of the museum’s digital collections, supporting richer data exchange, improved integration with other cultural heritage systems, and future-proofing for Linked Data initiatives.