glam/schemas/20251121/linkml/modules/classes/DuplicateEntry.yaml
kempersc 66adec257e Add scripts for normalizing LinkML schemas and validating schema integrity
- 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.
2026-02-16 10:16:51 +01:00

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YAML

id: https://nde.nl/ontology/hc/classes/DuplicateEntry
name: DuplicateEntry
title: DuplicateEntry
prefixes:
linkml: https://w3id.org/linkml/
hc: https://nde.nl/ontology/hc/
schema: http://schema.org/
prov: http://www.w3.org/ns/prov#
owl: http://www.w3.org/2002/07/owl#
imports:
- linkml:types
classes:
DuplicateEntry:
class_uri: prov:Entity
description: >-
Deduplication audit record capturing a suspected equivalent entry with
provenance about matching rationale.
alt_descriptions:
nl: Deduplocatie-auditrecord dat een vermoedelijk equivalente invoer met herkomst van de matchrationale vastlegt.
de: Deduplizierungs-Auditdatensatz der einen mutmasslich aequivalenten Eintrag mit Provenienz der Abgleichsbegruendung festhaelt.
fr: Enregistrement d audit de dedoublonnage consignant une entree presumee equivalente avec provenance du raisonnement de rapprochement.
es: Registro de auditoria de deduplicacion que documenta una entrada presuntamente equivalente con procedencia del criterio de coincidencia.
ar: سجل تدقيق لإزالة التكرار يوثق إدخالا مكافئا محتملا مع مصدر منطق المطابقة.
id: Rekaman audit deduplikasi yang mencatat entri yang diduga ekuivalen beserta provenans alasan pencocokan.
zh: 用于记录疑似等价条目及其匹配依据来源的去重审计记录。
close_mappings:
- owl:sameAs
related_mappings:
- prov:Derivation
annotations:
specificity_score: 0.1
specificity_rationale: Generic utility class/slot created during migration
custodian_types: "['*']"
slots: []