| Título: | Information and Knowledge Valuation using the Information Theory and Informative Matrices |
| Autores: |
Piedra-Calderón, Juan Carlos Crespo, Rubén González Rainer, J. Javier |
| Fecha: | 2013-11-29 |
| Publicador: | Information and knowledge management |
| Fuente: |
 |
| Tipo: |
info:eu-repo/semantics/article Peer-reviewed Article info:eu-repo/semantics/publishedVersion |
| Tema: | No aplica |
| Descripción: | For a more concrete analysis of the quantification of knowledge, one must normalize the quantification of data and information. One must, without entering into excessive detail, resort to the information theory, recognizing three features that data, information and knowledge have in common: weight, content and quantity. The following article is an introduction to and conceptualization, in the light of the Information Theory (IT), of the quantification of information and knowledge by means of informative matrices and a normalization valid for every IT organization. Key words: Data, information, knowledge, informative quantity, informative weight, informative content, informative matrix, information theory, generate. |
| Idioma: | Inglés |