glam/schemas/20251121/linkml/modules/classes/VideoTranscript.yaml
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refactor(schema): centralize 1515 inline slot definitions per Rule 48
- 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.
2026-01-11 22:02:14 +01:00

396 lines
13 KiB
YAML

id: https://nde.nl/ontology/hc/class/VideoTranscript
name: video_transcript_class
title: Video Transcript Class
imports:
- linkml:types
- ./VideoTextContent
- ./VideoTimeSegment
- ../slots/full_text
- ../slots/includes_speaker
- ../slots/includes_timestamp
- ../slots/paragraph_count
- ../slots/primary_speaker
- ../slots/has_or_had_segment
- ../slots/sentence_count
- ../slots/source_language_auto_detected
- ../slots/speaker_count
- ../slots/specificity_annotation
- ../slots/template_specificity
- ../slots/transcript_format
- ./SpecificityAnnotation
- ./TemplateSpecificityScores
prefixes:
linkml: https://w3id.org/linkml/
hc: https://nde.nl/ontology/hc/
schema: http://schema.org/
dcterms: http://purl.org/dc/terms/
prov: http://www.w3.org/ns/prov#
crm: http://www.cidoc-crm.org/cidoc-crm/
skos: http://www.w3.org/2004/02/skos/core#
default_prefix: hc
classes:
VideoTranscript:
is_a: VideoTextContent
class_uri: crm:E33_Linguistic_Object
abstract: false
description: "Full text transcription of video audio content.\n\n**DEFINITION**:\n\nA VideoTranscript is the complete\
\ textual representation of all spoken\ncontent in a video. It extends VideoTextContent with transcript-specific\nproperties\
\ and inherits all provenance tracking capabilities.\n\n**RELATIONSHIP TO VideoSubtitle**:\n\nVideoSubtitle is a subclass\
\ of VideoTranscript because:\n1. A subtitle file contains everything a transcript needs PLUS time codes\n2. You can\
\ derive a plain transcript from subtitles by stripping times\n3. This inheritance allows polymorphic handling of text\
\ content\n\n```\nVideoTranscript VideoSubtitle (is_a VideoTranscript)\n├── full_text ├── full_text\
\ (inherited)\n├── segments[] ├── segments[] (required, with times)\n└── (optional times) └── subtitle_format\
\ (SRT, VTT, etc.)\n```\n\n**SCHEMA.ORG ALIGNMENT**:\n\nMaps to `schema:transcript` property:\n> \"If this MediaObject\
\ is an AudioObject or VideoObject, \n> the transcript of that object.\"\n\n**CIDOC-CRM E33_Linguistic_Object**:\n\n\
E33 is the class comprising:\n> \"identifiable expressions in natural language or code\"\n\nA transcript is a linguistic\
\ object derived from the audio track of\na video (which is itself an E73_Information_Object).\n\n**TRANSCRIPT FORMATS**:\n\
\n| Format | Description | Use Case |\n|--------|-------------|----------|\n| PLAIN_TEXT | Continuous text, no structure\
\ | Simple search indexing |\n| PARAGRAPHED | Text broken into paragraphs | Human reading |\n| STRUCTURED | Segments\
\ with speaker labels | Research, analysis |\n| TIMESTAMPED | Segments with time markers | Navigation, subtitling |\n\
\n**GENERATION METHODS** (inherited from VideoTextContent):\n\n| Method | Typical Use | Quality |\n|--------|-------------|---------|\n\
| ASR_AUTOMATIC | Whisper, Google STT | 0.80-0.95 |\n| MANUAL_TRANSCRIPTION | Human transcriber | 0.98-1.0 |\n| PLATFORM_PROVIDED\
\ | YouTube auto-captions | 0.75-0.90 |\n| HYBRID | ASR + human correction | 0.95-1.0 |\n\n**HERITAGE INSTITUTION CONTEXT**:\n\
\nTranscripts are critical for heritage video collections:\n\n1. **Discovery**: Full-text search over video content\n\
2. **Accessibility**: Deaf/HoH access to spoken content\n3. **Preservation**: Text outlasts video format obsolescence\n\
4. **Research**: Corpus analysis, keyword extraction\n5. **Translation**: Base for multilingual access\n6. **SEO**:\
\ Search engine indexing of video content\n\n**STRUCTURED SEGMENTS**:\n\nWhen `segments` is populated, the transcript\
\ has structural breakdown:\n\n```yaml\nsegments:\n - segment_index: 0\n start_seconds: 0.0\n end_seconds: 5.5\n\
\ segment_text: \"Welcome to the Rijksmuseum.\"\n speaker_label: \"Narrator\"\n confidence: 0.94\n - segment_index:\
\ 1\n start_seconds: 5.5\n end_seconds: 12.3\n segment_text: \"Today we'll explore the Night Watch gallery.\"\
\n speaker_label: \"Narrator\"\n confidence: 0.91\n```\n\n**PROVENANCE** (inherited from VideoTextContent):\n\n\
All transcripts include:\n- `source_video`: Which video was transcribed\n- `generated_by`: Tool/person that created\
\ transcript\n- `generation_method`: ASR_AUTOMATIC, MANUAL_TRANSCRIPTION, etc.\n- `generation_timestamp`: When transcript\
\ was created\n- `overall_confidence`: Aggregate quality score\n- `is_verified`: Whether human-reviewed\n"
exact_mappings:
- crm:E33_Linguistic_Object
close_mappings:
- schema:transcript
related_mappings:
- dcterms:Text
slots:
- full_text
- includes_speaker
- includes_timestamp
- paragraph_count
- primary_speaker
- has_or_had_segment
- sentence_count
- source_language_auto_detected
- speaker_count
- specificity_annotation
- template_specificity
- transcript_format
slot_usage:
full_text:
slot_uri: schema:text
description: 'Complete transcript text as a single string.
Schema.org: text for primary textual content.
Contains all spoken content from the video, concatenated.
May include:
- Speaker labels (if includes_speakers = true)
- Timestamps (if includes_timestamps = true)
- Paragraph breaks (if format = PARAGRAPHED or STRUCTURED)
For structured access, use the `segments` slot instead.
'
range: string
required: true
examples:
- value: 'Welcome to the Rijksmuseum. Today we''ll explore the masterpieces
of Dutch Golden Age painting. Our first stop is the Night Watch
by Rembrandt van Rijn, painted in 1642.
'
description: Plain text transcript excerpt
- value: '[Narrator] Welcome to the Rijksmuseum.
[Narrator] Today we''ll explore the masterpieces of Dutch Golden Age painting.
[Curator] Our first stop is the Night Watch by Rembrandt van Rijn.
'
description: Transcript with speaker labels
transcript_format:
slot_uri: dcterms:format
description: 'Format/structure of the transcript text.
Dublin Core: format for resource format.
Indicates how the full_text is structured:
- PLAIN_TEXT: Continuous text without breaks
- PARAGRAPHED: Broken into paragraphs
- STRUCTURED: Includes speaker labels, times, or both
- TIMESTAMPED: Includes inline time markers
'
range: TranscriptFormatEnum
required: false
ifabsent: string(PLAIN_TEXT)
examples:
- value: STRUCTURED
description: Text with speaker labels and paragraph breaks
includes_timestamp:
slot_uri: hc:includesTimestamps
description: 'Whether the transcript includes time markers.
- **true**: Timestamps are embedded in full_text or segments have times
- **false**: No temporal information (default)
If true, prefer using `segments` for programmatic access.
'
range: boolean
required: false
ifabsent: 'false'
examples:
- value: true
description: Transcript has time codes
includes_speaker:
slot_uri: hc:includesSpeakers
description: 'Whether the transcript includes speaker identification.
- **true**: Speaker labels/diarization available
- **false**: Single speaker or no identification (default)
When true, check `speaker_count` for number of distinct speakers.
'
range: boolean
required: false
ifabsent: 'false'
examples:
- value: true
description: Multi-speaker transcript with diarization
has_or_had_segment:
slot_uri: hc:transcriptSegments
description: 'Structured breakdown of transcript into time-coded segments.
Optional for VideoTranscript (plain transcripts may not have times).
Required for VideoSubtitle (subtitles must have time codes).
Each segment is a VideoTimeSegment with:
- start_seconds / end_seconds: Time boundaries
- segment_text: Text for this segment
- confidence: Per-segment accuracy score
- speaker_id / speaker_label: Speaker identification
Use segments for:
- Video player synchronization
- Jump-to-time navigation
- Per-segment quality analysis
- Speaker-separated views
'
range: VideoTimeSegment
required: false
multivalued: true
inlined: true
inlined_as_list: true
examples:
- value: "- segment_index: 0\n start_seconds: 0.0\n end_seconds: 3.5\n segment_text: \"Welcome to the museum.\"\
\n confidence: 0.95\n"
description: Single structured segment
speaker_count:
slot_uri: hc:speakerCount
description: 'Number of distinct speakers identified in the transcript.
Only meaningful when includes_speakers = true.
0 = Unknown/not analyzed
1 = Single speaker (monologue)
2+ = Multi-speaker (dialogue, panel, interview)
'
range: integer
required: false
minimum_value: 0
examples:
- value: 3
description: Three speakers identified
primary_speaker:
slot_uri: hc:primarySpeaker
description: 'Identifier or name of the main/dominant speaker.
For interviews: the interviewee (not interviewer)
For presentations: the presenter
For tours: the guide
May be generic ("Narrator") or specific ("Dr. Taco Dibbits").
'
range: string
required: false
examples:
- value: Narrator
description: Generic primary speaker
- value: Dr. Taco Dibbits, Museum Director
description: Named primary speaker
source_language_auto_detected:
slot_uri: hc:sourceLanguageAutoDetected
description: 'Whether the content_language was auto-detected by ASR.
- **true**: Language detected by ASR model
- **false**: Language was specified/known (default)
Useful for quality assessment - auto-detection may be wrong.
'
range: boolean
required: false
ifabsent: 'false'
examples:
- value: true
description: Language was auto-detected
paragraph_count:
slot_uri: hc:paragraphCount
description: 'Number of paragraphs in the transcript.
Only meaningful when transcript_format = PARAGRAPHED or STRUCTURED.
Useful for content sizing and readability assessment.
'
range: integer
required: false
minimum_value: 0
examples:
- value: 15
description: Transcript has 15 paragraphs
sentence_count:
slot_uri: hc:sentenceCount
description: 'Approximate number of sentences in the transcript.
Derived from punctuation analysis or NLP sentence segmentation.
Useful for content analysis and readability metrics.
'
range: integer
required: false
minimum_value: 0
examples:
- value: 47
description: Transcript has ~47 sentences
specificity_annotation:
range: SpecificityAnnotation
inlined: true
template_specificity:
range: TemplateSpecificityScores
inlined: true
comments:
- Full text transcription of video audio content
- Extends VideoTextContent with transcript-specific properties
- Base class for VideoSubtitle (subtitles are transcripts + time codes)
- Supports both plain text and structured segment-based transcripts
- Critical for accessibility, discovery, and preservation
see_also:
- https://schema.org/transcript
- http://www.cidoc-crm.org/cidoc-crm/E33_Linguistic_Object
enums:
TranscriptFormatEnum:
description: 'Format/structure of transcript text content.
Indicates how the full_text is organized.
'
permissible_values:
PLAIN_TEXT:
description: 'Continuous text without structural markers.
No speaker labels, no timestamps, no paragraph breaks.
Suitable for simple full-text search indexing.
'
PARAGRAPHED:
description: 'Text broken into paragraphs.
May be based on topic changes, speaker pauses, or semantic units.
Improves human readability.
'
STRUCTURED:
description: 'Text with speaker labels and/or section markers.
Format: "[Speaker] Text content" or similar.
Enables speaker-specific analysis.
'
TIMESTAMPED:
description: 'Text with inline time markers.
Format: "[00:30] Text content" or similar.
Enables temporal navigation in text view.
'
VERBATIM:
description: 'Exact transcription including fillers, false starts, overlaps.
"[um]", "[pause]", "[crosstalk]" markers.
Used for linguistic analysis or legal transcripts.
'
CLEAN:
description: 'Edited for readability - fillers removed, grammar corrected.
May diverge slightly from literal spoken content.
Suitable for publication or accessibility.
'