60e66d60f9
- Introduced `is_or_was_created_through` slot to indicate content creation methods, replacing previous boolean flags. - Added `is_or_was_required` slot for generic temporal boolean requirements, aligning with Schema.org. - Created `AutoGeneration` class to represent automatic content generation, capturing methods and provenance. - Established `AvailabilityStatus` class to model resource availability with temporal validity. - Developed `Documentation` class for structured documentation resources, replacing domain-specific slots. - Implemented `Taxon` class for biological classification in natural history collections. - Archived previous slots related to API availability and documentation, ensuring a clean schema. - Enhanced existing slots with detailed descriptions and examples for clarity and usability.
83 lines
2.9 KiB
YAML
83 lines
2.9 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_or_had_label
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- ../slots/has_or_had_description
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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: >-
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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,
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chapters, transcripts, or metadata by AI/ML systems, platform algorithms,
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or automated processes. This replaces simple boolean flags like `auto_generated`
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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
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- PROV-O: `prov:wasGeneratedBy` - links to generating activity
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- 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
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- Scene Detection: AI-based video chapter generation
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- NLP: Natural language processing for metadata extraction
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- OCR: Optical character recognition for text extraction
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**USE CASES**:
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1. **Auto-Subtitles**: YouTube auto-generated captions
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2. **Auto-Chapters**: AI-detected video chapters
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3. **Auto-Transcripts**: ASR-generated transcripts
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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_or_had_label
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- has_or_had_description
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slot_usage:
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has_or_had_label:
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range: string
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examples:
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- value: "YouTube Auto-Caption"
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description: Platform auto-generated captions
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- value: "ASR Transcription"
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description: Automatic speech recognition
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has_or_had_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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description: Platform-provided auto-generation
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- value: "Generated using Whisper ASR model"
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description: Specific ASR model used
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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_or_had_label: "YouTube Auto-Caption"
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has_or_had_description: "Automatically generated by YouTube's speech recognition"
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description: YouTube auto-generated subtitles
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