- Created new YAML files for audience size and audience type slots, defining their properties and annotations.
- Added archived capacity slots including cubic meters, linear meters, item count, and descriptions, with appropriate URIs and ranges.
- Introduced a template specificity slot for context-aware RAG filtering.
- Consolidated capacity-related slots into a unified structure, including has_or_had_capacity, capacity_type, and capacity_value, with detailed descriptions and examples.
- Introduced `is_or_was_created_through` slot to indicate content creation methods, replacing previous boolean flags.
- Added `is_or_was_required` slot for generic temporal boolean requirements, aligning with Schema.org.
- Created `AutoGeneration` class to represent automatic content generation, capturing methods and provenance.
- Established `AvailabilityStatus` class to model resource availability with temporal validity.
- Developed `Documentation` class for structured documentation resources, replacing domain-specific slots.
- Implemented `Taxon` class for biological classification in natural history collections.
- Archived previous slots related to API availability and documentation, ensuring a clean schema.
- Enhanced existing slots with detailed descriptions and examples for clarity and usability.
Apply same RiC-O-style slot naming refactor to /schemas/20251121/linkml/
that was previously applied to frontend/public/schemas/:
- Add 'has_' prefix for possession predicates
- Add 'is_or_was_' prefix for temporal inverse relationships
- Add 'has_or_had_' for bidirectional temporal relations
- Add new slots: is_or_was_aggregated_by, is_or_was_allocated_by, etc.
- Update count slots with proper descriptions
This ensures consistency between the source schema directory and the
frontend-served schemas.
514 files changed, +6,325 insertions, -4,255 deletions
- Updated documentation to clarify integration points with existing components in the RAG pipeline and DSPy framework.
- Added detailed mapping of SPARQL templates to context templates for improved specificity filtering.
- Implemented wrapper patterns around existing classifiers to extend functionality without duplication.
- Introduced new tests for the SpecificityAwareClassifier and SPARQLToContextMapper to ensure proper integration and functionality.
- Enhanced the CustodianRDFConverter to include ISO country and subregion codes from GHCID for better geospatial data handling.