- Removed obsolete slots: `has_or_had_custodian_observation`, `provider`, and `specificity_annotation`.
- Updated `has_or_had_score` slot to use `SpecificityScore` class and modified its description and examples.
- Added new slots: `end_seconds`, `end_time`, `has_archive_path`, `has_or_had_custodian_name`, `protocol_name`, and `protocol_version`.
- Introduced a script `check_annotation_types.py` to validate the presence and structure of `custodian_types` in YAML files.
- Added a script `update_specificity.py` to automate updates related to `SpecificityAnnotation` to `SpecificityScore`.
- Updated WorldCatIdentifier.yaml to remove unnecessary description and ensure consistent formatting.
- Enhanced WorldHeritageSite.yaml by breaking long description into multiple lines for better readability and removed unused attributes.
- Simplified WritingSystem.yaml by removing redundant attributes and ensuring consistent formatting.
- Cleaned up XPathScore.yaml by removing unnecessary attributes and ensuring consistent formatting.
- Improved YoutubeChannel.yaml by breaking long description into multiple lines for better readability.
- Enhanced YoutubeEnrichment.yaml by breaking long description into multiple lines for better readability.
- Updated YoutubeVideo.yaml to break long description into multiple lines and removed legacy field name.
- Refined has_or_had_affiliation.yaml by removing unnecessary comments and ensuring clarity.
- Cleaned up is_or_was_retrieved_at.yaml by removing unnecessary comments and ensuring clarity.
- Added rules for generic slots and avoiding rough edits in schema files to maintain structural integrity.
- Introduced changes_or_changed_through.yaml to define a new slot for linking entities to change events.
- Introduced VerificationStatus, Verifier, VersionNumber, ViabilityStatus, VideoCategoryIdentifier, VideoIdentifier, WhatsAppProfile, WordCount, WorkRevision, and WorldCatIdentifier classes to capture various aspects of data verification, categorization, and identification.
- Created corresponding slots such as analyzes_or_analyzed, unit_type, years_restricted, benefits_provided, consumes_or_consumed, has_or_had_contact_details, has_or_had_investment, has_or_had_liability, has_or_had_likelihood_score, has_or_had_location, has_or_had_net_asset, is_or_was_affiliated_with, is_or_was_allocated_to, is_or_was_alternative_form_of, is_or_was_categorized_as, is_or_was_used_by, and was_last_updated_at to facilitate detailed tracking and categorization of entities and their attributes.
- Each class and slot includes detailed descriptions, usage examples, and mappings to relevant ontologies to ensure interoperability and clarity in data representation.
