Project Context / Objective:
The Semantic TEI project was initiated within SARI’s Digital Semper Edition to explore how semantic data structures could enhance and extend TEI XML manuscript markups. The objective was to align TEI-based scholarly editing workflows with Linked Open Data initiatives in the cultural heritage domain, ensuring encoded texts could be represented within sustainable, standards-based semantic frameworks grounded in CIDOC CRM and related extensions.
Takin.Solutions’ Role / Contributions:
Takin.Solutions acted as semantic architecture consultant and implementation partner, delivering ontology development, conceptual modeling, ETL strategy, and dissemination support across four coordinated work packages.
Key Activities:
- Designed and documented a unified ontology framework aligned with CIDOC CRM and relevant extensions.
- Developed a Semper Edition SRDM modelling profile using SRDM 2.0 methodology.
- Created reusable semantic data patterns and implementation-ready documentation in Zellij.
- Designed and supported a functional RDF ETL pipeline for transforming TEI XML into interoperable semantic data.
- Published and disseminated results via GitHub and community engagement activities.
Deliverables / Outputs:
- Initial and final ontology framework documentation.
- Semper Edition SRDM modelling profile (initial and final versions).
- Functional ETL mapping documentation and pipeline strategy.
- Public dissemination materials and repository publication.
Outcome / Impact:
Takin.Solutions provided the Digital Semper Edition with a complete semantic architecture bridging TEI XML and Linked Open Data standards. The project established a sustainable ontology layer, modular semantic reference data models, and a repeatable ETL pipeline capable of transforming manuscript markups into interoperable RDF representations.
By aligning TEI encoding practices with CIDOC CRM and related extensions, the project enhanced interoperability, long-term preservation potential, and scholarly reuse of manuscript data, offering a reusable framework for future semantic scholarly editing initiatives.