Modelling a Knowledge Management System Architecture with INGENIAS Methodology
Juan Pablo Soto, Aurora Vizcaíno, Javier Portillo, Mario G. Piattini · 2006
Nowadays knowledge management is a topic of vital importance as companies have realized that it offers a competitive advantage. In order to develop a knowledge management system that helps companies to take advantage of their knowledge, different technologies have been used. One of those which have proved to be rather efficient is that of intelligent agents, since these agents can develop tasks on behalf of users. Moreover, agents may use different intelligent techniques and communicate with each other. Taking this into account we are developing a multi-agent architecture to help developers to implement knowledge management systems. Before designing the architecture we studied what agent methodology was the most suitable to carry out this task. After a preliminary study we consider that MASCommonKADS and INGENIAS could be the most convenient. In this paper we describe why we finally chose INGENIAS to design our architecture. Moreover, the design of the architecture using the INGENIAS model is also described