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- Remove inline slot definitions from 144 class files - Create 7 new centralized slot files in modules/slots/: - custodian_type_broader.yaml - custodian_type_narrower.yaml - custodian_type_related.yaml - definition.yaml - finding_aid_access_restriction.yaml - finding_aid_description.yaml - finding_aid_temporal_coverage.yaml - Add centralize_inline_slots.py automation script - Update manifest with new timestamp Rule 48: Class files must NOT define inline slots - all slots must be imported from modules/slots/ directory. Note: Pre-existing IdentifierFormat duplicate class definition (in Standard.yaml and IdentifierFormat.yaml) not addressed in this commit - requires separate schema refactor.
396 lines
13 KiB
YAML
396 lines
13 KiB
YAML
id: https://nde.nl/ontology/hc/class/VideoTranscript
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name: video_transcript_class
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title: Video Transcript Class
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imports:
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- linkml:types
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- ./VideoTextContent
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- ./VideoTimeSegment
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- ../slots/full_text
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- ../slots/includes_speaker
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- ../slots/includes_timestamp
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- ../slots/paragraph_count
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- ../slots/primary_speaker
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- ../slots/has_or_had_segment
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- ../slots/sentence_count
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- ../slots/source_language_auto_detected
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- ../slots/speaker_count
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- ../slots/specificity_annotation
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- ../slots/template_specificity
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- ../slots/transcript_format
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- ./SpecificityAnnotation
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- ./TemplateSpecificityScores
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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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dcterms: http://purl.org/dc/terms/
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prov: http://www.w3.org/ns/prov#
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crm: http://www.cidoc-crm.org/cidoc-crm/
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skos: http://www.w3.org/2004/02/skos/core#
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default_prefix: hc
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classes:
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VideoTranscript:
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is_a: VideoTextContent
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class_uri: crm:E33_Linguistic_Object
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abstract: false
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description: "Full text transcription of video audio content.\n\n**DEFINITION**:\n\nA VideoTranscript is the complete\
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\ textual representation of all spoken\ncontent in a video. It extends VideoTextContent with transcript-specific\nproperties\
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\ and inherits all provenance tracking capabilities.\n\n**RELATIONSHIP TO VideoSubtitle**:\n\nVideoSubtitle is a subclass\
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\ of VideoTranscript because:\n1. A subtitle file contains everything a transcript needs PLUS time codes\n2. You can\
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\ derive a plain transcript from subtitles by stripping times\n3. This inheritance allows polymorphic handling of text\
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\ content\n\n```\nVideoTranscript VideoSubtitle (is_a VideoTranscript)\n├── full_text ├── full_text\
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\ (inherited)\n├── segments[] ├── segments[] (required, with times)\n└── (optional times) └── subtitle_format\
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\ (SRT, VTT, etc.)\n```\n\n**SCHEMA.ORG ALIGNMENT**:\n\nMaps to `schema:transcript` property:\n> \"If this MediaObject\
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\ is an AudioObject or VideoObject, \n> the transcript of that object.\"\n\n**CIDOC-CRM E33_Linguistic_Object**:\n\n\
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E33 is the class comprising:\n> \"identifiable expressions in natural language or code\"\n\nA transcript is a linguistic\
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\ object derived from the audio track of\na video (which is itself an E73_Information_Object).\n\n**TRANSCRIPT FORMATS**:\n\
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\n| Format | Description | Use Case |\n|--------|-------------|----------|\n| PLAIN_TEXT | Continuous text, no structure\
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\ | Simple search indexing |\n| PARAGRAPHED | Text broken into paragraphs | Human reading |\n| STRUCTURED | Segments\
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\ with speaker labels | Research, analysis |\n| TIMESTAMPED | Segments with time markers | Navigation, subtitling |\n\
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\n**GENERATION METHODS** (inherited from VideoTextContent):\n\n| Method | Typical Use | Quality |\n|--------|-------------|---------|\n\
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| ASR_AUTOMATIC | Whisper, Google STT | 0.80-0.95 |\n| MANUAL_TRANSCRIPTION | Human transcriber | 0.98-1.0 |\n| PLATFORM_PROVIDED\
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\ | YouTube auto-captions | 0.75-0.90 |\n| HYBRID | ASR + human correction | 0.95-1.0 |\n\n**HERITAGE INSTITUTION CONTEXT**:\n\
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\nTranscripts are critical for heritage video collections:\n\n1. **Discovery**: Full-text search over video content\n\
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2. **Accessibility**: Deaf/HoH access to spoken content\n3. **Preservation**: Text outlasts video format obsolescence\n\
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4. **Research**: Corpus analysis, keyword extraction\n5. **Translation**: Base for multilingual access\n6. **SEO**:\
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\ Search engine indexing of video content\n\n**STRUCTURED SEGMENTS**:\n\nWhen `segments` is populated, the transcript\
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\ has structural breakdown:\n\n```yaml\nsegments:\n - segment_index: 0\n start_seconds: 0.0\n end_seconds: 5.5\n\
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\ segment_text: \"Welcome to the Rijksmuseum.\"\n speaker_label: \"Narrator\"\n confidence: 0.94\n - segment_index:\
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\ 1\n start_seconds: 5.5\n end_seconds: 12.3\n segment_text: \"Today we'll explore the Night Watch gallery.\"\
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\n speaker_label: \"Narrator\"\n confidence: 0.91\n```\n\n**PROVENANCE** (inherited from VideoTextContent):\n\n\
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All transcripts include:\n- `source_video`: Which video was transcribed\n- `generated_by`: Tool/person that created\
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\ transcript\n- `generation_method`: ASR_AUTOMATIC, MANUAL_TRANSCRIPTION, etc.\n- `generation_timestamp`: When transcript\
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\ was created\n- `overall_confidence`: Aggregate quality score\n- `is_verified`: Whether human-reviewed\n"
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exact_mappings:
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- crm:E33_Linguistic_Object
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close_mappings:
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- schema:transcript
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related_mappings:
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- dcterms:Text
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slots:
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- full_text
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- includes_speaker
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- includes_timestamp
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- paragraph_count
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- primary_speaker
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- has_or_had_segment
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- sentence_count
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- source_language_auto_detected
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- speaker_count
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- specificity_annotation
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- template_specificity
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- transcript_format
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slot_usage:
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full_text:
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slot_uri: schema:text
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description: 'Complete transcript text as a single string.
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Schema.org: text for primary textual content.
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Contains all spoken content from the video, concatenated.
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May include:
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- Speaker labels (if includes_speakers = true)
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- Timestamps (if includes_timestamps = true)
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- Paragraph breaks (if format = PARAGRAPHED or STRUCTURED)
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For structured access, use the `segments` slot instead.
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'
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range: string
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required: true
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examples:
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- value: 'Welcome to the Rijksmuseum. Today we''ll explore the masterpieces
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of Dutch Golden Age painting. Our first stop is the Night Watch
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by Rembrandt van Rijn, painted in 1642.
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'
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description: Plain text transcript excerpt
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- value: '[Narrator] Welcome to the Rijksmuseum.
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[Narrator] Today we''ll explore the masterpieces of Dutch Golden Age painting.
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[Curator] Our first stop is the Night Watch by Rembrandt van Rijn.
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'
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description: Transcript with speaker labels
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transcript_format:
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slot_uri: dcterms:format
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description: 'Format/structure of the transcript text.
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Dublin Core: format for resource format.
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Indicates how the full_text is structured:
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- PLAIN_TEXT: Continuous text without breaks
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- PARAGRAPHED: Broken into paragraphs
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- STRUCTURED: Includes speaker labels, times, or both
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- TIMESTAMPED: Includes inline time markers
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'
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range: TranscriptFormatEnum
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required: false
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ifabsent: string(PLAIN_TEXT)
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examples:
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- value: STRUCTURED
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description: Text with speaker labels and paragraph breaks
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includes_timestamp:
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slot_uri: hc:includesTimestamps
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description: 'Whether the transcript includes time markers.
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- **true**: Timestamps are embedded in full_text or segments have times
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- **false**: No temporal information (default)
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If true, prefer using `segments` for programmatic access.
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'
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range: boolean
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required: false
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ifabsent: 'false'
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examples:
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- value: true
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description: Transcript has time codes
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includes_speaker:
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slot_uri: hc:includesSpeakers
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description: 'Whether the transcript includes speaker identification.
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- **true**: Speaker labels/diarization available
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- **false**: Single speaker or no identification (default)
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When true, check `speaker_count` for number of distinct speakers.
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'
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range: boolean
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required: false
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ifabsent: 'false'
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examples:
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- value: true
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description: Multi-speaker transcript with diarization
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has_or_had_segment:
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slot_uri: hc:transcriptSegments
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description: 'Structured breakdown of transcript into time-coded segments.
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Optional for VideoTranscript (plain transcripts may not have times).
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Required for VideoSubtitle (subtitles must have time codes).
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Each segment is a VideoTimeSegment with:
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- start_seconds / end_seconds: Time boundaries
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- segment_text: Text for this segment
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- confidence: Per-segment accuracy score
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- speaker_id / speaker_label: Speaker identification
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Use segments for:
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- Video player synchronization
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- Jump-to-time navigation
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- Per-segment quality analysis
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- Speaker-separated views
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'
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range: VideoTimeSegment
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required: false
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multivalued: true
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inlined: true
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inlined_as_list: true
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examples:
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- value: "- segment_index: 0\n start_seconds: 0.0\n end_seconds: 3.5\n segment_text: \"Welcome to the museum.\"\
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\n confidence: 0.95\n"
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description: Single structured segment
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speaker_count:
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slot_uri: hc:speakerCount
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description: 'Number of distinct speakers identified in the transcript.
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Only meaningful when includes_speakers = true.
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0 = Unknown/not analyzed
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1 = Single speaker (monologue)
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2+ = Multi-speaker (dialogue, panel, interview)
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'
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range: integer
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required: false
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minimum_value: 0
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examples:
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- value: 3
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description: Three speakers identified
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primary_speaker:
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slot_uri: hc:primarySpeaker
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description: 'Identifier or name of the main/dominant speaker.
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For interviews: the interviewee (not interviewer)
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For presentations: the presenter
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For tours: the guide
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May be generic ("Narrator") or specific ("Dr. Taco Dibbits").
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'
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range: string
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required: false
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examples:
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- value: Narrator
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description: Generic primary speaker
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- value: Dr. Taco Dibbits, Museum Director
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description: Named primary speaker
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source_language_auto_detected:
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slot_uri: hc:sourceLanguageAutoDetected
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description: 'Whether the content_language was auto-detected by ASR.
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- **true**: Language detected by ASR model
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- **false**: Language was specified/known (default)
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Useful for quality assessment - auto-detection may be wrong.
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'
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range: boolean
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required: false
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ifabsent: 'false'
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examples:
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- value: true
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description: Language was auto-detected
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paragraph_count:
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slot_uri: hc:paragraphCount
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description: 'Number of paragraphs in the transcript.
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Only meaningful when transcript_format = PARAGRAPHED or STRUCTURED.
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Useful for content sizing and readability assessment.
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'
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range: integer
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required: false
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minimum_value: 0
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examples:
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- value: 15
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description: Transcript has 15 paragraphs
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sentence_count:
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slot_uri: hc:sentenceCount
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description: 'Approximate number of sentences in the transcript.
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Derived from punctuation analysis or NLP sentence segmentation.
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Useful for content analysis and readability metrics.
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'
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range: integer
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required: false
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minimum_value: 0
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examples:
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- value: 47
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description: Transcript has ~47 sentences
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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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- Full text transcription of video audio content
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- Extends VideoTextContent with transcript-specific properties
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- Base class for VideoSubtitle (subtitles are transcripts + time codes)
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- Supports both plain text and structured segment-based transcripts
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- Critical for accessibility, discovery, and preservation
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see_also:
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- https://schema.org/transcript
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- http://www.cidoc-crm.org/cidoc-crm/E33_Linguistic_Object
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enums:
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TranscriptFormatEnum:
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description: 'Format/structure of transcript text content.
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Indicates how the full_text is organized.
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'
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permissible_values:
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PLAIN_TEXT:
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description: 'Continuous text without structural markers.
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No speaker labels, no timestamps, no paragraph breaks.
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Suitable for simple full-text search indexing.
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'
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PARAGRAPHED:
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description: 'Text broken into paragraphs.
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May be based on topic changes, speaker pauses, or semantic units.
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Improves human readability.
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'
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STRUCTURED:
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description: 'Text with speaker labels and/or section markers.
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Format: "[Speaker] Text content" or similar.
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Enables speaker-specific analysis.
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'
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TIMESTAMPED:
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description: 'Text with inline time markers.
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Format: "[00:30] Text content" or similar.
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Enables temporal navigation in text view.
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'
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VERBATIM:
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description: 'Exact transcription including fillers, false starts, overlaps.
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"[um]", "[pause]", "[crosstalk]" markers.
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Used for linguistic analysis or legal transcripts.
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'
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CLEAN:
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description: 'Edited for readability - fillers removed, grammar corrected.
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May diverge slightly from literal spoken content.
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Suitable for publication or accessibility.
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'
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