- Implement `normalize_linkml_alt_descriptions.py` to convert structured alt_descriptions to the expected scalar form. - Implement `normalize_linkml_structured_aliases.py` to flatten language-keyed structured_aliases into a standard list-of-objects format. - Implement `validate_linkml_schema_integrity.py` to validate the integrity of LinkML schema bundles, checking for import resolution, YAML parsing, and reference existence.
176 lines
5.7 KiB
YAML
176 lines
5.7 KiB
YAML
id: https://nde.nl/ontology/hc/class/VideoAnnotation
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name: video_annotation_class
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title: Video Annotation Class
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imports:
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- linkml:types
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- ../enums/AnnotationTypeEnum
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- ../slots/analyze
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- ../slots/contain
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- ../slots/filter
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- ../slots/has_quantity
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- ../slots/has_rationale
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- ../slots/has_score
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- ../slots/has_threshold
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- ../slots/has_type
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- ../slots/has_measurement_unit
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- ../slots/has_bounding_box
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- ../slots/mask
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- ../slots/has_method
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- ../slots/has_model
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- ../slots/has_objective
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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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oa: http://www.w3.org/ns/oa#
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as: https://www.w3.org/ns/activitystreams#
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default_prefix: hc
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classes:
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VideoAnnotation:
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is_a: VideoTextContent
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class_uri: oa:Annotation
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abstract: true
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alt_descriptions:
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nl: {text: Abstracte basisklasse voor computer-vision en multimodale video-annotaties., language: nl}
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de: {text: Abstrakte Basisklasse fuer Computer-Vision- und multimodale Videoannotationen., language: de}
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fr: {text: Classe de base abstraite pour les annotations video en vision par ordinateur et multimodales., language: fr}
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es: {text: Clase base abstracta para anotaciones de video por vision por computador y multimodales., language: es}
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ar: {text: فئة أساس مجردة لتعليقات الفيديو المعتمدة على الرؤية الحاسوبية ومتعددة الوسائط., language: ar}
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id: {text: Kelas dasar abstrak untuk anotasi video berbasis visi komputer dan multimodal., language: id}
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zh: {text: 用于计算机视觉/多模态视频注释的抽象基类。, language: zh}
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structured_aliases:
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nl: [{literal_form: videoannotatie, language: nl}]
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de: [{literal_form: Videoannotation, language: de}]
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fr: [{literal_form: annotation video, language: fr}]
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es: [{literal_form: anotacion de video, language: es}]
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ar: [{literal_form: وسم فيديو, language: ar}]
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id: [{literal_form: anotasi video, language: id}]
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zh: [{literal_form: 视频注释, language: zh}]
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description: >-
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Abstract base class for structured annotations derived from visual or
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multimodal analysis of video content.
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exact_mappings:
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- oa:Annotation
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close_mappings:
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- crm:E13_Attribute_Assignment
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related_mappings:
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- as:Activity
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- schema:ClaimReview
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slots:
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- has_rationale
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- contain
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- has_type
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- filter
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- has_bounding_box
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- mask
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- has_method
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- has_model
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- has_objective
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- has_score
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- analyze
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slot_usage:
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has_type:
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# range: string # uriorcurie
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required: true
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examples:
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- value:
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has_code: OBJECT_DETECTION
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has_label: Object Detection
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contain:
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# range: string
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multivalued: true
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required: false
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inlined_as_list: false # Fixed invalid inline for primitive type
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examples:
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- value:
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has_label: Night Watch painting visible
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has_description: 30.0 - 35.0 seconds
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has_rationale:
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# range: string
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required: false
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examples:
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- value:
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has_label: ClassifyingMotivation
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filter:
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description: Detection filtering metadata including count and threshold settings.
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range: DetectedEntity
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inlined: true
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required: false
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examples:
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- value:
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has_quantity:
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has_measurement_unit: detections
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has_threshold:
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has_value: 0.5
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- value:
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has_quantity:
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has_measurement_unit: detections
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has_threshold:
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has_label: High Precision
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analyze:
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description: Frame analysis metadata (e.g., sample rate and analyzed frames).
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range: VideoFrame
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inlined: true
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required: false
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examples:
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- value:
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has_quantity:
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has_measurement_unit: frames
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- value:
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has_quantity:
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has_measurement_unit: samples per second
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has_method:
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range: boolean
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required: false
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examples:
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- value: true
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has_model:
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# range: string
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required: false
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examples:
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- value: Transformer
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- value: CNN
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has_objective:
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# range: string
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required: false
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examples:
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- value: detection
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- value: captioning
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has_bounding_box:
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range: boolean
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required: false
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examples:
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- value: true
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mask:
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range: boolean
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required: false
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examples:
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- value: false
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comments:
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- Abstract base for all CV/multimodal video annotations
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- Extends VideoTextContent with frame-based analysis parameters
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- W3C Web Annotation compatible structure
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- Supports both temporal and spatial annotation
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- Tracks detection thresholds and model architecture
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see_also:
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- https://www.w3.org/TR/annotation-model/
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- http://www.cidoc-crm.org/cidoc-crm/E13_Attribute_Assignment
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- https://iiif.io/api/presentation/3.0/
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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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modeling_notes: |
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Typical subclasses
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- VideoSceneAnnotation (shot/scene structure)
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- VideoObjectAnnotation (objects/faces/logos/landmarks)
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- VideoOCRAnnotation (text visible in frames)
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Alignment
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Uses oa:Annotation for annotation semantics and extends VideoTextContent
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for provenance and quality metadata.
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