69 lines
2.7 KiB
YAML
69 lines
2.7 KiB
YAML
id: https://nde.nl/ontology/hc/class/AutoGeneration
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name: auto_generation_class
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title: AutoGeneration Class
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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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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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prov: http://www.w3.org/ns/prov#
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dcterms: http://purl.org/dc/terms/
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default_prefix: hc
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classes:
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AutoGeneration:
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class_uri: prov:Activity
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description: 'Represents automatic generation or creation of content by a system or algorithm.
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**DEFINITION**:
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AutoGeneration models the automatic creation of content such as subtitles, chapters, transcripts, or metadata by AI/ML systems, platform algorithms, or automated processes. This replaces simple boolean flags like `auto_generated` with a structured class that can capture the generation method and provenance.
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**ONTOLOGY ALIGNMENT**:
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- PROV-O: `prov:Activity` - an activity that generates entities - PROV-O: `prov:wasGeneratedBy` - links to generating activity - Schema.org: `schema:CreateAction` - creation action
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**GENERATION METHODS**:
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- ASR (Automatic Speech Recognition): Speech-to-text for subtitles - Scene Detection: AI-based video chapter generation - NLP: Natural language processing for metadata extraction - OCR: Optical character recognition for text extraction
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**USE CASES**:
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1. **Auto-Subtitles**: YouTube auto-generated captions 2. **Auto-Chapters**: AI-detected video chapters 3. **Auto-Transcripts**: ASR-generated transcripts 4. **Auto-Metadata**: ML-extracted metadata'
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exact_mappings:
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- prov:Activity
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close_mappings:
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- schema:CreateAction
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related_mappings:
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- prov:wasGeneratedBy
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slots:
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- has_label
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- has_description
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slot_usage:
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has_label:
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# range: string
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examples:
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- value: YouTube Auto-Caption
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- value: ASR Transcription
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has_description:
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# range: string
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examples:
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- value: Automatically generated by YouTube's speech recognition system
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- value: Generated using Whisper ASR model
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comments:
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- Generic auto-generation class replacing domain-specific boolean flags
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- Captures generation method and provenance
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- Aligns with PROV-O Activity for provenance tracking
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see_also:
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- https://www.w3.org/TR/prov-o/#Activity
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- https://schema.org/CreateAction
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examples:
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- value:
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has_label: YouTube Auto-Caption
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has_description: Automatically generated by YouTube's speech recognition
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annotations:
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specificity_score: 0.1
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specificity_rationale: Generic utility class/slot created during migration
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custodian_types: "['*']"
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