66adec257e
- Implement `normalize_linkml_alt_descriptions.py` to convert structured alt_descriptions to the expected scalar form. - Implement `normalize_linkml_structured_aliases.py` to flatten language-keyed structured_aliases into a standard list-of-objects format. - Implement `validate_linkml_schema_integrity.py` to validate the integrity of LinkML schema bundles, checking for import resolution, YAML parsing, and reference existence.
74 lines
2.3 KiB
YAML
74 lines
2.3 KiB
YAML
id: https://nde.nl/ontology/hc/class/Source
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name: Source
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title: Source
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description: Source or origin from which data, content, or information was derived.
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prefixes:
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linkml: https://w3id.org/linkml/
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hc: https://nde.nl/ontology/hc/
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prov: http://www.w3.org/ns/prov#
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dcterms: http://purl.org/dc/terms/
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schema: http://schema.org/
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crm: http://www.cidoc-crm.org/cidoc-crm/
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skos: http://www.w3.org/2004/02/skos/core#
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rdfs: http://www.w3.org/2000/01/rdf-schema#
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org: http://www.w3.org/ns/org#
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xsd: http://www.w3.org/2001/XMLSchema#
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imports:
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- linkml:types
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- ../slots/has_description
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- ../slots/has_label
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- ../slots/has_type
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default_prefix: hc
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classes:
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Source:
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class_uri: prov:Entity
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description: Source entity used for provenance tracking (manual, automated, or external).
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exact_mappings:
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- prov:Entity
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close_mappings:
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- dcterms:source
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- schema:CreativeWork
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slots:
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- has_type
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- has_label
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- has_description
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slot_usage:
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has_type:
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# range: string # uriorcurie
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required: false
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has_label:
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# range: string
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required: false
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has_description:
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# range: string
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required: false
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annotations:
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specificity_score: 0.2
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specificity_rationale: Generic provenance concept. Sources are fundamental to data quality tracking across all heritage domains.
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custodian_types: "['*']"
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comments:
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- Subclass to specialize by domain (e.g., ChapterSource for chapter generation provenance).
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examples:
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- value:
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has_type: MANUAL
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has_label: Creator-defined chapters
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has_description: Chapters manually defined in video description
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- value:
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has_type: YOUTUBE_AI
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has_label: YouTube Auto-Chapters
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has_description: AI-generated chapter markers from YouTube
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- value:
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has_type: WHISPER_CHAPTERS
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has_label: Whisper Transcript Analysis
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ChapterSource:
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is_a: Source
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class_uri: hc:ChapterSource
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description: Source or method that created video chapters. Specializes Source for video chapter generation provenance.
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annotations:
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specificity_score: 0.75
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specificity_rationale: Specific to video chapter generation domain.
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custodian_types: "['*']"
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examples:
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- value:
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has_type: YOUTUBE_AI
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has_label: YouTube Auto-Chapters
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