Recommending trustworthy knowledge in KMS by using agents

Juan Pablo Soto, Aurora Vizcaíno, Javier Portillo-Rodríguez, Mario Piattini

Producción científica: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

1 Cita (Scopus)

Resumen

Knowledge Management is a critical factor for companies worried about increasing their competitive advantage. Because of this, companies are acquiring knowledge management tools that help them manage and reuse their knowledge. One of the mechanisms most commonly used with this goal is that of Knowledge Management Systems. However, sometimes Knowledge Management Systems are not very used by the employees, who consider that the knowledge stored is not very valuable. In order to avoid it, in this paper we propose a three-level multi-agent architecture based on the concept of communities of practice, with the idea of providing the most trustworthy knowledge to each person according to the reputation of the knowledge source. Moreover, a prototype that demostrates the feasibility of our ideas is described.

Idioma originalInglés
Título de la publicación alojadaSoftware and Data Technologies - Second International Conference, ICSOFT/ENASE 2007, Revised Selected Papers
EditorialSpringer Verlag
Páginas297-309
Número de páginas13
ISBN (versión impresa)3540886540, 9783540886549
DOI
EstadoPublicada - 2008
Publicado de forma externa

Serie de la publicación

NombreCommunications in Computer and Information Science
Volumen22 CCIS
ISSN (versión impresa)1865-0929

Nota bibliográfica

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Copyright 2021 Elsevier B.V., All rights reserved.

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