Publication: An artificial intelligence-based model for knowledge evaluation and integration in public organizations.
Authors
García González, María Segunda ; Paniagua Aris, Enrique ; Martínez Bejar, Rodrigo ; López Caballero, Juan A. ; Gasparetto, Alessandro
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Publisher
MDPI
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DOI
https://doi.org/10.3390/app132111796
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info:eu-repo/semantics/article
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
Abstract
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
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Citation
Applied Science, 2023, Vol. 13 (21): 11796
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Este ítem está sujeto a una licencia Creative Commons. http://creativecommons.org/licenses/by/4.0/