f7bf1cc5ae
- Deleted obsolete slot definitions: statement_summary, statement_text, statement_type, status_name, supersede_articles, supersede_condition, supersede_name, temporal_dynamics, total_amount, typical_contents, use_cases, was_acquired_through, was_fetched_at, was_retrieved_at. - Updated existing slot definitions for states_or_stated to enhance clarity and structure. - Introduced new classes: Article, ConditionofAccess, FinancialStatementType, MaximumQuantity, Series, Summary, Type, and their respective slots to improve schema organization and usability. - Added new slots: changes_or_changed_through, has_or_had_condition_of_access, has_or_had_heritage_type, is_or_was_part_of_series, is_or_was_retrieved_at, maximum_of_maximum to capture additional metadata and relationships.
129 lines
3.8 KiB
YAML
129 lines
3.8 KiB
YAML
id: https://nde.nl/ontology/hc/class/ConfidenceMethod
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name: confidence_method_class
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title: Confidence Method
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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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prov: http://www.w3.org/ns/prov#
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schema: http://schema.org/
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imports:
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- linkml:types
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- ../slots/has_or_had_type
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- ../slots/has_or_had_description
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- ../slots/has_or_had_identifier
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default_prefix: hc
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classes:
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ConfidenceMethod:
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description: >-
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A method or algorithm used to calculate confidence scores.
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**USAGE**:
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Documents how confidence values were computed:
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- Fuzzy string matching algorithms
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- ML model predictions
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- Rule-based validation
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- XPath match verification
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- Human assessment
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**COMMON METHODS**:
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| Method | Description |
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|--------|-------------|
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| fuzzy_matching | Levenshtein, Jaro-Winkler, etc. |
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| xpath_validation | XPath match confidence |
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| llm_classification | LLM-based entity classification |
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| ml_prediction | Machine learning model output |
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| human_assessment | Manual quality assessment |
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| ensemble | Combined multiple methods |
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class_uri: prov:Plan
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exact_mappings:
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- prov:Plan
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close_mappings:
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- schema:HowTo
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slots:
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- has_or_had_type
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- has_or_had_description
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- has_or_had_identifier
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slot_usage:
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has_or_had_type:
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range: string
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required: true
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description: >-
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Type of confidence calculation method.
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examples:
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- value: "fuzzy_matching"
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description: String similarity algorithm
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- value: "ml_prediction"
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description: Machine learning model
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- value: "human_assessment"
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description: Manual human review
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has_or_had_description:
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range: string
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required: false
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description: >-
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Detailed description of the method implementation.
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examples:
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- value: "Jaro-Winkler similarity with 0.7 threshold"
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description: Fuzzy matching configuration
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has_or_had_identifier:
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range: string
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required: false
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description: >-
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Identifier for the method (e.g., algorithm name, model version).
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examples:
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- value: "rapidfuzz-2.15.1"
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description: Library version
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attributes:
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threshold:
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range: float
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description: >-
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Confidence threshold used by this method for accept/reject decisions.
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examples:
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- value: 0.85
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description: 85% threshold for acceptance
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is_deterministic:
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range: boolean
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description: >-
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Whether the method produces consistent results for same inputs.
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annotations:
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custodian_types: '["*"]'
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custodian_types_rationale: >-
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Confidence methods apply universally to data quality assessment.
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custodian_types_primary: "*"
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specificity_score: 0.25
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specificity_rationale: >-
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Low specificity - fundamental methodology documentation.
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examples:
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- value:
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has_or_had_type: "fuzzy_matching"
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has_or_had_description: "Levenshtein distance with ratio normalization"
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has_or_had_identifier: "rapidfuzz-levenshtein"
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threshold: 0.85
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is_deterministic: true
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description: Fuzzy string matching method
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- value:
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has_or_had_type: "llm_classification"
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has_or_had_description: "GPT-4 based entity type classification"
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has_or_had_identifier: "gpt-4-turbo-2024-04-09"
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is_deterministic: false
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description: LLM-based classification method
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comments:
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- Created from slot_fixes.yaml migration (2026-01-19)
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- Documents confidence calculation methodology
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- Used with ConfidenceScore class
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