Desarrollo de una Aplicación Web para la Visualización y Análisis De Árboles de Conocimientos

Abstract

Knowledge management within an organization is how the competencies of the staff are analyzed and related teach other. Knowledge Trees (KT) are handy tools for this purpose because they allow mapping knowledge and graphically represent it as trees of nodes that help analyze the organization’s state of knowledge. In this paper, a web application is developed to build this kind of representation automatically. The web application was built in six sprints using the SCRUM framework. For its implementation, we used a MEAN stack for development with MongoDB as a non-relational database, SailsJs on the Back-End server and Angular for the Front-End. Responding to the requirements of the present work, an ADC rendering algorithm was developed, allowing adapting a knowledge mapping strategy for different contexts and carrying out a broad analysis of the relationships of the ADC nodes. Furthermore, the web application becomes one of the few tools available today for ADC mapping and rendering.