glam/schemas/20251121/linkml/modules/classes/AutoGeneration.yaml
kempersc 5148089171 Enhance Cantonal Archive Record Set Types and Capacity Classes
- Updated descriptions and titles for CantonalArchiveRecordSetType and CantonalArchiveRecordSetTypes to improve clarity and consistency.
- Added multilingual alt_descriptions and structured_aliases for better accessibility and understanding across languages.
- Refined slot usage and annotations for CantonalGovernmentFonds and CantonalLegislationCollection to align with RiC-O principles.
- Enhanced Capacity class with detailed descriptions, alt_descriptions, and structured_aliases for various capacity types, including Volume, Shelf Length, Floor Area, Item Count, Weight, and Seating capacities.
- Introduced a new rule for describing archive organization types to emphasize their institutional context rather than just record types.
2026-02-15 01:49:35 +01:00

121 lines
4.8 KiB
YAML

id: https://nde.nl/ontology/hc/class/AutoGeneration
name: auto_generation_class
title: AutoGeneration Class
imports:
- linkml:types
- ../slots/has_description
- ../slots/has_label
prefixes:
linkml: https://w3id.org/linkml/
hc: https://nde.nl/ontology/hc/
schema: http://schema.org/
prov: http://www.w3.org/ns/prov#
dcterms: http://purl.org/dc/terms/
default_prefix: hc
classes:
AutoGeneration:
class_uri: prov:Activity
description: >-
Automatic generation of content such as subtitles, chapters, transcripts,
or metadata by AI/ML systems, platform algorithms, or automated processes.
Replaces simple boolean flags with structured provenance tracking.
alt_descriptions:
nl:
text: >-
Automatische generatie van inhoud zoals ondertitels, hoofdstukken,
transcripties of metadata door AI/ML-systemen, platform-algoritmes of
geautomatiseerde processen. Vervangt eenvoudige booleaanse vlaggen
door gestructureerde herkomstregistratie.
de:
text: >-
Automatische Generierung von Inhalten wie Untertiteln, Kapiteln,
Transkripten oder Metadaten durch KI/ML-Systeme, Plattform-Algorithmen
oder automatisierte Prozesse. Ersetzt einfache Boolean-Flags durch
strukturierte Herkunftsverfolgung.
fr:
text: >-
Génération automatique de contenu tel que des sous-titres, chapitres,
transcriptions ou métadonnées par des systèmes d'IA/ML, des algorithmes
de plateforme ou des processus automatisés. Remplace les indicateurs
booléens simples par un suivi structuré de la provenance.
es:
text: >-
Generación automática de contenido como subtítulos, capítulos,
transcripciones o metadatos por sistemas de IA/ML, algoritmos de
plataforma o procesos automatizados. Reemplaza indicadores booleanos
simples con seguimiento estructurado de procedencia.
ar:
text: >-
إنشاء تلقائي للمحتوى مثل الترجمات والفصول والنسخ والبيانات الوصفية
بواسطة أنظمة الذكاء الاصطناعي/التعلم الآلي أو خوارزميات المنصة أو
العمليات الآلية. يحل محل العلامات المنطقية البسيطة بتتبع منظم للأصل.
id:
text: >-
Pembuatan otomatis konten seperti takarir, bab, transkrip, atau metadata
oleh sistem AI/ML, algoritma platform, atau proses otomatis. Mengganti
tanda boolean sederhana dengan pelacakan asal-usul terstruktur.
zh:
text: >-
由AI/ML系统、平台算法或自动化流程自动生成字幕、章节、转录或元数据等内容。
用结构化的来源跟踪取代简单的布尔标志。
broad_mappings:
- prov:Activity
close_mappings:
- schema:CreateAction
related_mappings:
- prov:wasGeneratedBy
slots:
- has_label
- has_description
slot_usage:
has_label:
examples:
- value: YouTube Auto-Caption
- value: ASR Transcription
has_description:
examples:
- value: Automatically generated by YouTube's speech recognition system
- value: Generated using Whisper ASR model
structured_aliases:
- literal_form: autogeneratie
in_language: nl
- literal_form: AutoGenerierung
in_language: de
- literal_form: génération automatique
in_language: fr
- literal_form: generación automática
in_language: es
- literal_form: إنشاء تلقائي
in_language: ar
- literal_form: pembuatan otomatis
in_language: id
- literal_form: 自动生成
in_language: zh
comments:
- Generic auto-generation class replacing domain-specific boolean flags
- Captures generation method and provenance
- Aligns with PROV-O Activity for provenance tracking
- Generation methods include ASR, Scene Detection, NLP, OCR
keywords:
- automation
- AI generation
- speech recognition
- transcription
- machine learning
- provenance
see_also:
- https://www.w3.org/TR/prov-o/#Activity
- https://schema.org/CreateAction
examples:
- value:
has_label: YouTube Auto-Caption
has_description: Automatically generated by YouTube's speech recognition
description: Auto-generated subtitles
- value:
has_label: Whisper ASR Transcription
has_description: Generated using Whisper ASR model
description: AI-based speech-to-text transcription
annotations:
specificity_score: 0.1
specificity_rationale: Generic utility class/slot created during migration
custodian_types: "['*']"