Multi-relational and Concept Analysis based Knowledge extraction in the Industry 4.0: A systematic mapping
| cic.institucionOrigen | Laboratorio de Investigación y Formación en Informática Avanzada (LIFIA) | |
| cic.isFulltext | SI | |
| cic.isPeerReviewed | SI | |
| cic.lugarDesarrollo | Laboratorio de Investigación y Formación en Informática Avanzada (LIFIA) | |
| cic.parentType | Objeto de conferencia | |
| cic.version | Aceptada | |
| dc.date.accessioned | 2023-09-06T12:43:15Z | |
| dc.date.available | 2023-09-06T12:43:15Z | |
| dc.identifier.uri | https://digital.cic.gba.gob.ar/handle/11746/12037 | |
| dc.title | Multi-relational and Concept Analysis based Knowledge extraction in the Industry 4.0: A systematic mapping | en |
| dc.type | Documento de conferencia | |
| dcterms.abstract | Smart Enterprises, Smart Manufacturing, and Cyber-Physical Systems are gaining traction in many industry areas. On top of that, the amounts of available data grow rapidly, and organizations are eager to exploit their advantages. To accomplish that, it is mandatory to have a wide variety of methods and algorithms for knowledge extraction in order to fit the different needs and problems of the industry. In this study, we review and dissect the current state of the art in knowledge extraction applied to smart enterprises, smart manufacturing, and cyber-physical systems. More specifically, we provide a classification of the characteristics of the available methods in the literature according to their applications, and point out areas of improvement. | en |
| dcterms.creator.author | Leutwyler, Nicolás | |
| dcterms.creator.author | Lezoche, Mario | |
| dcterms.creator.author | Torres, Diego | |
| dcterms.creator.author | Panetto, Hervé | |
| dcterms.identifier.other | HAL Id: hal-04189347 , version 1 | |
| dcterms.identifier.url | https://hal.science/hal-04189347 | |
| dcterms.isPartOf.series | IFAC World Congress (Japón, 9 al 14 de julio de 2023) | |
| dcterms.issued | 2023-07 | |
| dcterms.language | Inglés | |
| dcterms.license | Attribution-NonCommercial-ShareAlike 4.0 International (BY-NC-SA 4.0) | |
| dcterms.subject | Enterprise interoperability | en |
| dcterms.subject | AI-based enterprise systems | en |
| dcterms.subject | Systems interoperability | en |
| dcterms.subject | Cyber physical system | en |
| dcterms.subject | Smart factory | en |
| dcterms.subject.materia | Ciencias de la Computación e Información |
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