- Migrate 236+ class files from custodian_types to has_or_had_custodian_type - Archive deprecated slots: custodian_type, custodian_types, custodian_type_broader/narrower/related - Update main schema and manifest imports - Fix Custodian.yaml class to use new slot - Fix annotation format (list→scalar) in has_or_had_custodian_type.yaml Rules applied: - Rule 39: RiC-O naming convention (hasOrHad pattern) - Rule 43: Slot nouns must be singular (multivalued:true for cardinality) - Rule 38: Slot centralization with semantic URI
129 lines
3.8 KiB
YAML
129 lines
3.8 KiB
YAML
id: https://nde.nl/ontology/hc/class/LanguageProficiency
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name: language_proficiency_class
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title: Language Proficiency Class
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version: 1.0.0
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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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schema: http://schema.org/
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dct: http://purl.org/dc/terms/
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imports:
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- linkml:types
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- ../metadata
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- ../slots/specificity_annotation
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- ../slots/template_specificity
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# LanguageProficiency-specific slots
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- ../slots/language_raw
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- ../slots/language_name
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- ../slots/language_code
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- ../slots/proficiency_level
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# Enum imports
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- ../enums/LanguageProficiencyEnum
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# Class imports for slot ranges
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- ./SpecificityAnnotation
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- ./TemplateSpecificityScores
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default_range: string
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default_prefix: hc
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classes:
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LanguageProficiency:
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class_uri: schema:knowsLanguage
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description: |
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A language skill with proficiency level.
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Models language abilities as extracted from LinkedIn profiles,
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with both raw string and parsed components.
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**Schema.org Alignment**:
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- Represents schema:knowsLanguage relation
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- Language is schema:Language
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**Use Cases**:
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- LinkedIn profile language sections
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- Multilingual staff identification
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- Heritage institution language capabilities
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**Example JSON Values**:
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```json
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[
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"English - Native or bilingual",
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"Dutch - Native or bilingual",
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"French - Professional working proficiency"
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]
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```
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**LinkedIn Proficiency Levels**:
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- Native or bilingual proficiency
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- Full professional proficiency
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- Professional working proficiency
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- Limited working proficiency
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- Elementary proficiency
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exact_mappings:
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- schema:knowsLanguage
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close_mappings:
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- dct:language
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slots:
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- language_code
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- language_name
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- language_raw
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- proficiency_level
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- specificity_annotation
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- template_specificity
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slot_usage:
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language_raw:
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description: |
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Raw language string as extracted from LinkedIn.
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Format: "Language - Proficiency level"
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Preserved for provenance.
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slot_uri: schema:description
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range: string
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examples:
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- value: English - Native or bilingual
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description: Native English speaker
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- value: Dutch - Professional working proficiency
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description: Professional Dutch
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language_name:
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description: |
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Language name (parsed from raw string).
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slot_uri: schema:name
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range: string
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examples:
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- value: English
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- value: Dutch
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- value: French
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language_code:
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description: |
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ISO 639-1 two-letter language code.
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Derived from language_name lookup.
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slot_uri: dct:language
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range: string
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pattern: "^[a-z]{2}$"
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examples:
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- value: en
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description: English
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- value: nl
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description: Dutch
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- value: fr
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description: French
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proficiency_level:
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description: |
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Proficiency level as parsed from LinkedIn.
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Uses LanguageProficiencyEnum values.
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slot_uri: schema:proficiencyLevel
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range: LanguageProficiencyEnum
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examples:
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- value: NATIVE_BILINGUAL
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description: Native or bilingual proficiency
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specificity_annotation:
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range: SpecificityAnnotation
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inlined: true
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template_specificity:
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range: TemplateSpecificityScores
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inlined: true
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comments:
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- Inlined in LinkedInProfile.languages[] as multivalued list
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- Preserves raw LinkedIn format for provenance
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- ISO 639-1 codes enable language-based filtering
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see_also:
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- https://schema.org/knowsLanguage
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- https://en.wikipedia.org/wiki/List_of_ISO_639-1_codes
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