1. Digitum: Repositorio Institucional de la Universidad de Murcia
  2. Investigación
  3. Departamentos de la UM
  4. Información y Documentación
  5. Artículos: Información y Documentación
Por favor, use este identificador para citar o enlazar este ítem: https://doi.org/10.3390/app132111796

Registro completo de metadatos
Campo DCValorLengua/Idioma
dc.contributor.authorGarcía González, María Segunda-
dc.contributor.authorPaniagua Aris, Enrique-
dc.contributor.authorMartínez Bejar, Rodrigo-
dc.contributor.authorLópez Caballero, Juan A.-
dc.contributor.authorGasparetto, Alessandro-
dc.contributor.otherFacultades, Departamentos, Servicios y Escuelas::Departamentos de la UMU::Información y Documentaciónes
dc.date.accessioned2024-07-25T08:23:05Z-
dc.date.available2024-07-25T08:23:05Z-
dc.date.issued2023-10-28-
dc.identifier.citationApplied Science, 2023, Vol. 13 (21): 11796es
dc.identifier.issnElectronic: 2076-3417-
dc.identifier.urihttp://hdl.handle.net/10201/143379-
dc.description© 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-
dc.description.abstractIn 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 schemaes
dc.formatapplication/pdfes
dc.format.extent11es
dc.languageenges
dc.publisherMDPI-
dc.relationThis research was funded by the Cartagena Port Authority under grant number APC-2023-1.es
dc.relation.isversionofhttps://www.mdpi.com/2076-3417/13/21/11796-
dc.rightsinfo:eu-repo/semantics/openAccesses
dc.rightsAtribución 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.subjectKnowledge managementes
dc.subjectArtificial intelligence-
dc.subjectCollective intelligence-
dc.subjectOntology-
dc.subject.otherCDU::3 - Ciencias socialeses
dc.titleAn artificial intelligence-based model for knowledge evaluation and integration in public organizations.es
dc.typeinfo:eu-repo/semantics/articlees
dc.identifier.doihttps://doi.org/10.3390/app132111796-
Aparece en las colecciones:Artículos: Información y Documentación

Ficheros en este ítem:
Fichero Descripción TamañoFormato 
applsci-13-11796-v2.pdfAn Artificial Intelligence-Based Model for Knowledge Evaluation and Integration in Public Organizations1,48 MBAdobe PDFVista previa
Visualizar/Abrir
Mostrar el registro sencillo del ítem Mostrar el registro PREMIS del ítem  Estadísticas


Este ítem está sujeto a una licencia Creative Commons Licencia Creative Commons Creative Commons