Documentary Evidence Mapping for the Redesign of Employment Certificates

Autores/as

  • Natalia de Lourdes Guamán Sanaguano Universidad Politécnica Salesiana Autor/a
  • Flor Vanessa León Aguas Universidad Politécnica Salesiana Autor/a
  • Silvia Anabel Toala Jiménez Universidad Politécnica Salesiana Autor/a

Palabras clave:

document management; employment certificates; ETL; star model; text analysis.

Resumen

This short contribution organizes documentary evidence to inform the redesign of employment certificate issuance at the Universidad Nacional de Chimborazo. The team identified a process with manual steps, time consumption, and no verifiable issuance record. The study combined a corpus of 19 sources with an inventory of 16 files. An AI-assisted ETL procedure generated a star model in five CSV files, later consolidated in Excel and a dashboard. Textual analysis used word clouds, n-grams, the Jaccard index, and a co-occurrence network. The model recorded 8 frameworks and 51 mentions: process management occurred in 11 documents and ISO 15489 in 10, while four frameworks had no mentions. These results do not establish operational effectiveness; they identify documentary references and gaps that should be checked before institutional implementation.

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Publicado

2026-09-12

Cómo citar

Documentary Evidence Mapping for the Redesign of Employment Certificates. (2026). Neutrosophic Computing and Machine Learning, 45, 64-67. https://fs.unm.edu/NCML_2/index.php/NCML/article/view/173

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