id: https://nde.nl/ontology/hc/class/VideoTranscript name: video_transcript_class title: Video Transcript Class imports: - linkml:types - ./VideoTextContent - ./VideoTimeSegment - ../slots/class_metadata_slots 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\nE33 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\n2. **Accessibility**:\ \ Deaf/HoH access to spoken content\n3. **Preservation**: Text outlasts video\ \ format obsolescence\n4. **Research**: Corpus analysis, keyword extraction\n\ 5. **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\nAll 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_speakers - includes_timestamps - paragraph_count - primary_speaker - segments - 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_timestamps: 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_speakers: 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 segments: 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 start_seconds: 0.0 end_seconds: 3.5 segment_text: "Welcome to the museum." confidence: 0.95 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. slots: full_text: description: Complete transcript text as single string range: string transcript_format: description: Format/structure of transcript text range: TranscriptFormatEnum includes_timestamps: description: Whether transcript includes time markers range: boolean includes_speakers: description: Whether transcript includes speaker identification range: boolean segments: description: Structured breakdown into time-coded segments range: VideoTimeSegment multivalued: true speaker_count: description: Number of distinct speakers identified range: integer primary_speaker: description: Identifier/name of main speaker range: string source_language_auto_detected: description: Whether language was auto-detected by ASR range: boolean paragraph_count: description: Number of paragraphs in transcript range: integer sentence_count: description: Number of sentences in transcript range: integer