glam/schemas/20251121/linkml/modules/classes/AnnotatorModel.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/AnnotatorModel
name: AnnotatorModel
title: Annotator Model
prefixes:
linkml: https://w3id.org/linkml/
hc: https://nde.nl/ontology/hc/
schema: http://schema.org/
prov: http://www.w3.org/ns/prov#
xsd: http://www.w3.org/2001/XMLSchema#
imports:
- linkml:types
classes:
AnnotatorModel:
description: >-
Machine learning model used for cultural heritage entity extraction and annotation.
alt_descriptions:
nl: Machine learning model gebruikt voor cultureel erfgoed entiteitextractie en -annotatie.
de: Maschinelles Lernmodell zur Extraktion und Annotation von Kulturgut-Entitäten.
fr: Modèle d'apprentissage automatique utilisé pour l'extraction et l'annotation d'entités du patrimoine culturel.
es: Modelo de aprendizaje automático utilizado para la extracción y anotación de entidades de patrimonio cultural.
ar: نموذج التعلم الآلي المستخدم لاستخراج وتعليق كيانات التراث الثقافي.
id: Model pembelajaran mesin yang digunakan untuk ekstraksi dan anotasi entitas warisan budaya.
zh: 用于文化遗产实体提取和注释的机器学习模型。
structured_aliases:
- literal_form: annotatiemodel
in_language: nl
- literal_form: Annotationsmodell
in_language: de
- literal_form: modèle d'annotation
in_language: fr
- literal_form: modelo de anotación
in_language: es
- literal_form: نموذج التعليق
in_language: ar
- literal_form: model anotasi
in_language: id
- literal_form: 注释模型
in_language: zh
class_uri: prov:SoftwareAgent
close_mappings:
- schema:SoftwareApplication
related_mappings:
- prov:Agent
- prov:Entity
keywords:
- annotator model
- Annotator
- machine learning
- entity extraction
- glm-4.5-flash
examples:
- value:
model_name: glm-4.5-flash
convention: annotator-v1_7_0
comments:
- Includes model name, convention identifier, and timestamp
- Acts as software agent in provenance chains
annotations:
specificity_score: 0.1
specificity_rationale: Generic utility class/slot created during migration
custodian_types: '[''*'']'
slots:
- generated_by