versión On-line ISSN 0718-0764
MATOS, Guillermo; CHALMETA, Ricardo y COLTELL, Oscar. Methodology for the Extraction of Enterprise Knowledge from Data. Inf. tecnol. [online]. 2006, vol.17, n.2, pp. 81-88. ISSN 0718-0764. http://dx.doi.org/10.4067/S0718-07642006000200011.
In this work a formal methodology for the extraction of enterprise knowledge from data that companies posess, is presented. The data that are kept in company´s databases are the most valuable knowledge sources in an enterprise, so the efficient management of databases becomes of special importance. The proposed methodology has been named KM-IRIS and consists of five steps. In each step, the main objectives are clearly stated, and also the techniques and tools to be used.This scheme facilitates the inmediarte application of the methodology, following the proposed steps, To calibrate and verify the proposal, the methodology has been applied to some typical cases, such as the extraction of knowledge from people, documents and data.
Palabras llave : enterprise knowledge; management system; data warehouse; data mining.