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Título: An artificial intelligence-based model for knowledge evaluation and integration in public organizations.
Fecha de publicación: 28-oct-2023
Editorial: MDPI
Cita bibliográfica: Applied Science, 2023, Vol. 13 (21): 11796
ISSN: Electronic: 2076-3417
Materias relacionadas: CDU::3 - Ciencias sociales
Palabras clave: Knowledge management
Artificial intelligence
Collective intelligence
Ontology
Resumen: In the construction of knowledge bases, it is very important to evaluate the quality of the knowledge entered into them. This is exacerbated in public administrations, where knowledge should be oriented towards public services. In this study, an artificial intelligence-based method for the evaluation of knowledge is described. This method takes advantage of the structure and contents of the knowledge representation schemas (representing the knowledge of the corresponding experts) to carry out knowledge evaluation. More precisely, the method allows the various comparisons between the schemas to be integrated and the overall schema to evaluate the contribution of each schema
Autor/es principal/es: García González, María Segunda
Paniagua Aris, Enrique
Martínez Bejar, Rodrigo
López Caballero, Juan A.
Gasparetto, Alessandro
Facultad/Departamentos/Servicios: Facultades, Departamentos, Servicios y Escuelas::Departamentos de la UMU::Información y Documentación
URI: http://hdl.handle.net/10201/143379
DOI: https://doi.org/10.3390/app132111796
Tipo de documento: info:eu-repo/semantics/article
Número páginas / Extensión: 11
Derechos: info:eu-repo/semantics/openAccess
Atribución 4.0 Internacional
Descripción: © 2023 by the authors. This manuscript version is made available under the CC-BY 4.0 license http://creativecommons.org/licenses/by/4.0/ This document is the Published version of a Published Work that appeared in final form in Applied Science. To access the final edited and published work see https://doi.org/10.3390/app132111796
Aparece en las colecciones:Artículos: Información y Documentación

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