66adec257e
- 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.
121 lines
4.4 KiB
YAML
121 lines
4.4 KiB
YAML
id: https://nde.nl/ontology/hc/class/ConfidenceScore
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name: ConfidenceScore
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title: Confidence Score
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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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sosa: http://www.w3.org/ns/sosa/
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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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- ../slots/has_description
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- ../slots/has_method
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- ../slots/has_score
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classes:
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ConfidenceScore:
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class_uri: hc:ConfidenceScore
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description: >-
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Normalized numeric estimate expressing support strength for an extracted or
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inferred statement.
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alt_descriptions:
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nl: Genormaliseerde numerieke schatting die de sterkte van ondersteuning voor een afgeleide uitspraak uitdrukt.
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de: Normalisierte numerische Schaetzung zur Angabe der Unterstuetzungsstaerke fuer eine extrahierte oder abgeleitete Aussage.
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fr: Estimation numerique normalisee exprimant la force de soutien d'une assertion extraite ou inferee.
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es: Estimacion numerica normalizada que expresa la fuerza de respaldo de una afirmacion extraida o inferida.
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ar: تقدير رقمي معياري يعبّر عن قوة دعم عبارة مستخرجة أو مستنتجة.
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id: Estimasi numerik ternormalisasi yang menyatakan kekuatan dukungan untuk pernyataan yang diekstraksi atau diinferensikan.
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zh: 表示对抽取或推断陈述支持强度的归一化数值估计。
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structured_aliases:
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- literal_form: zekerheidscore
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in_language: nl
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- literal_form: Sicherheitswert
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in_language: de
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- literal_form: score de certitude
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in_language: fr
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- literal_form: puntuacion de certeza
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in_language: es
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- literal_form: درجة اليقين
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in_language: ar
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- literal_form: skor kepastian
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in_language: id
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- literal_form: 置信分值
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in_language: zh
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slots:
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- has_score
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- has_method
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- has_description
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slot_usage:
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has_score:
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range: float
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minimum_value: 0.0
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maximum_value: 1.0
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required: true
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close_mappings:
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- sosa:hasSimpleResult
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- prov:value
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examples:
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- value: 0.95
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- value: 0.5
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- value: 0.1
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has_method:
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examples:
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- value: fuzzy_string_matching
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- value: xpath_extraction_validation
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has_description:
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examples:
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- value: Strong lexical and identifier match across independent sources.
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examples:
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- value:
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has_score: 0.93
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has_method: xpath_extraction
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has_description: Exact match at canonical XPath location.
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description: High support estimate for deterministic extraction
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- value:
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has_score: 0.62
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has_method: fuzzy_string_matching
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has_description: Partial overlap with disambiguation warning.
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description: Medium support estimate for ambiguous matching
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keywords:
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- normalized estimate
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- support strength
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- extraction quality
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- inference reliability
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broad_mappings:
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- sosa:Result
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- dqv:QualityMeasurement
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close_mappings:
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- schema:Rating
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comments:
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- Replaces unstructured scalar values with a reusable object pattern.
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- Method metadata is captured via has_method for auditability.
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notes:
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- |
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Preserved from prior description (commit 5e94e52b):
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A structured confidence score representing quality/certainty measurements.
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**MIGRATION**:
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Replaces simple `confidence_score` float slot with structured class:
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- `has_score`: The numeric value (0.0-1.0)
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- `has_method`: How confidence was calculated
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- `has_description`: Explanation of confidence assessment
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**USAGE**:
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- Process quality assessment (methodology confidence)
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- Match/similarity confidence (entity resolution)
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- Extraction confidence (NLP/XPath extraction)
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- Prediction confidence (ML model outputs)
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**RANGE**: 0.0 (low confidence) to 1.0 (high confidence)
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**ONTOLOGY MAPPING**:
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- sosa:hasSimpleResult for the score value
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- prov:value as close mapping
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annotations:
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custodian_types: '["*"]'
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custodian_types_rationale: Scoring is reusable across all curation and extraction workflows.
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specificity_score: "0.2"
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specificity_rationale: Generic but essential structure for quality assessment.
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