776462de90
- Migrated catering_type to CateringType with subclasses for better classification. - Updated certainty_level to has_or_had_level for improved metadata consistency. - Addressed cessation_observed_in by confirming existing temporal data structure. - Created NetAsset class and updated financial statements for richer financial modeling. - Completed migrations for default_access_policy, default_audio_language, and default_language to structured classes. - Migrated default_position to structured Alignment class for better representation. - Updated defined_by_standard to broaden range for identifier standards. - Migrated definition to structured Resolution class for video resolution modeling. - Completed migrations for degree_name, deliverable, and departement_code to structured classes. - Migrated deployment_date to structured DeploymentEvent with temporal extent. - Migrated derived_from_entity and derived_from_observation to new reference structures. - Completed description and description_text migrations to enhance content modeling. - Migrated detection_count, detection_level, and detection_threshold to structured slots with classes. - Migrated device-related slots to structured classes for better identification and classification. - Added new slots and classes for historic building and web address modeling.
149 lines
5 KiB
YAML
149 lines
5 KiB
YAML
# DetectionThreshold class
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# Represents threshold configuration for detection/filtering in analysis pipelines
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#
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# Created: 2026-01-25
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# Rule compliance: 0b (Type/Types pattern), 38 (slot centralization), 39 (RiC-O naming), 53 (slot_fixes.yaml)
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# Migration: detection_threshold → filters_or_filtered + has_or_had_treshold + DetectionThreshold
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id: https://nde.nl/ontology/hc/class/DetectionThreshold
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name: DetectionThreshold
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title: Detection Threshold Class
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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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dqv: http://www.w3.org/ns/dqv#
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schema: http://schema.org/
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prov: http://www.w3.org/ns/prov#
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default_prefix: hc
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imports:
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- linkml:types
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- ../metadata
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- ../slots/has_or_had_label
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- ../slots/has_or_had_description
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- ../slots/has_or_had_type
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classes:
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DetectionThreshold:
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class_uri: dqv:QualityMeasurement
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description: |
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Configuration for detection thresholds in analysis pipelines.
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**DEFINITION**:
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DetectionThreshold represents the confidence threshold settings used to filter
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detection results. CV models output confidence scores; thresholds determine
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which detections are included in results.
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**Threshold Levels**:
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| Threshold | Range | Use Case |
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|-----------|-------|----------|
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| HIGH_PRECISION | 0.9+ | Production display, high confidence |
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| BALANCED | 0.7-0.9 | General use, balance precision/recall |
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| HIGH_RECALL | 0.5-0.7 | Research, review, catch more |
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| RAW | < 0.5 | Unfiltered, needs post-processing |
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**Ontological Alignment**:
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- **DQV**: `dqv:QualityMeasurement` - quality metric for data assessment
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- **PROV-O**: Threshold as parameter of detection activity
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**Migrated From** (per slot_fixes.yaml):
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- `detection_threshold` (float) now uses:
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- `filters_or_filtered` → DetectedEntity
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- `has_or_had_treshold` → DetectionThreshold (this class)
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**Usage Pattern**:
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```
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VideoAnnotation
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└── filters_or_filtered → DetectedEntity
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└── has_or_had_treshold → DetectionThreshold
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├── threshold_value: 0.5
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└── threshold_type: MINIMUM
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```
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exact_mappings:
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- dqv:QualityMeasurement
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close_mappings:
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- schema:QuantitativeValue
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related_mappings:
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- prov:SoftwareAgent
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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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- has_or_had_type
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attributes:
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threshold_value:
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range: float
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required: true
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minimum_value: 0.0
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maximum_value: 1.0
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description: |
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The numeric threshold value (0.0-1.0).
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Detections with confidence >= threshold_value are included.
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examples:
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- value: 0.5
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description: Standard threshold
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- value: 0.9
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description: High precision threshold
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threshold_type:
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range: string
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required: false
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description: |
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Type of threshold application.
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- MINIMUM: Lower bound for inclusion
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- MAXIMUM: Upper bound (rare)
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- BAND: Range between two values
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examples:
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- value: MINIMUM
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description: Minimum confidence for inclusion
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slot_usage:
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has_or_had_label:
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description: Human-readable label for this threshold configuration
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examples:
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- value: "High Precision Threshold"
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- value: "Research Mode Threshold"
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has_or_had_type:
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description: Type category for the threshold (HIGH_PRECISION, BALANCED, etc.)
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examples:
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- value: HIGH_PRECISION
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- value: BALANCED
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annotations:
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custodian_types: '["D"]'
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custodian_types_rationale: Detection thresholds apply to digital platforms with automated analysis
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specificity_score: 0.75
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specificity_rationale: Fairly specific to video/media analysis contexts
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comments:
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- "Represents detection threshold configuration"
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- "Migrated from detection_threshold slot per slot_fixes.yaml"
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- "threshold_value is the numeric confidence cutoff"
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- "threshold_type indicates how threshold is applied"
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examples:
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- value:
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threshold_value: 0.5
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threshold_type: MINIMUM
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has_or_had_label: "Standard Detection"
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description: "Standard detection threshold at 0.5 confidence"
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- value:
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threshold_value: 0.9
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threshold_type: MINIMUM
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has_or_had_label: "High Precision"
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has_or_had_description: "For production display requiring high confidence"
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description: "High precision threshold for production use"
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- value:
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threshold_value: 0.3
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threshold_type: MINIMUM
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has_or_had_label: "Research Mode"
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has_or_had_description: "Low threshold to maximize recall for research"
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description: "Low threshold for research/review workflows"
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