4319f38c05
- 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.
96 lines
3.5 KiB
YAML
96 lines
3.5 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/has_or_had_score # was: template_specificity - migrated per Rule 53 (2026-01-17)
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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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- ../enums/LanguageProficiencyEnum
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- ./SpecificityAnnotation
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- ./TemplateSpecificityScore # was: TemplateSpecificityScores - migrated per Rule 53 (2026-01-17)
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- ./TemplateSpecificityType
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- ./TemplateSpecificityTypes
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- ../slots/language_code
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- ../slots/language_name
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- ../slots/language_raw
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- ../slots/proficiency_level
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- ../slots/specificity_annotation
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- ../slots/has_or_had_score # was: template_specificity - migrated per Rule 53 (2026-01-17)
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- ../slots/language_code
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- ../slots/language_name
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- ../slots/language_raw
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- ../slots/proficiency_level
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- ../slots/specificity_annotation
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- ../slots/has_or_had_score # was: template_specificity - migrated per Rule 53 (2026-01-17)
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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: "A language skill with proficiency level.\n\nModels language abilities as extracted from LinkedIn profiles,\n\
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with both raw string and parsed components.\n\n**Schema.org Alignment**:\n- Represents schema:knowsLanguage relation\n\
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- Language is schema:Language\n\n**Use Cases**:\n- LinkedIn profile language sections\n- Multilingual staff identification\n\
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- Heritage institution language capabilities\n\n**Example JSON Values**:\n```json\n[\n \"English - Native or bilingual\"\
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,\n \"Dutch - Native or bilingual\",\n \"French - Professional working proficiency\"\n]\n```\n\n**LinkedIn Proficiency\
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\ Levels**:\n- Native or bilingual proficiency\n- Full professional proficiency \n- Professional working proficiency\n\
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- Limited working proficiency\n- Elementary proficiency\n"
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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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- has_or_had_score # was: template_specificity - migrated per Rule 53 (2026-01-17)
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slot_usage:
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language_raw:
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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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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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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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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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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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