Modeling of User Interest Based on Its Interaction with a Collaborative Knowledge Management System

Abstract

El acceso a la versión del editor puede requerir la suscripción del recurso Access to the published version may require subscription Abstract. SKC is a prototype system for knowledge management in the Web by means of semantic information without supervision and tries to select the knowledge contained in the system by paying attention to its use. This paper explains user activity analysis in order to find out their interest for knowledge elements in the system, and the application of this interest for users classification and knowledge identification for their interest, inside and outside SKC. As a result a model for user interest based on interaction is obtained. Modeling of User

Digestion of Knowledge in a KM System to Reveal Implicit Knowledge

“…The knowledge process that the Analysis Module (AM) produces for the Semantic KnowCat (SKC) (Moreno-Llorena, 2008;Moreno-Llorena & Alamán, 2005;Moreno-Llorena et al, 2009a, 2009b system may be considered a digestion because its intention is to extract something new and assimilating by the system from the existing knowledge.…”

“…The process of the digestion of knowledge proposed seems to be able to specify latent knowledge in a knowledge management field, which may be useful to facilitate the management task fulfilled by the system, the interaction among its entities and users' access to the contents that have been processed, among other interesting applications (Moreno-Llorena, 2008;Moreno-Llorena & Alamán, 2005;Moreno-Llorena et al, 2009a, 2009b. The enrichment of the proposed content seems to provide a very powerful support for automatic exchange of knowledge among knowledge management systems opening a way to the development of the latter on the semantic Web field (Berners-Lee, 2000).…”

“…It would be highly desirable that the level of similarity would mark more clearly the space between items with different contents and would clarify the similarity between those that have similar contents. With all this, it is considered highly interesting to continue advancing in an open line of work, paying special attention to specification and contrast of the level of similarity, and searching integration of content analysis proposed with the one for interaction of users (Moreno-Llorena et al, 2009a) and with automatic interaction among nodes (MorenoLlorena et al, 2009b).…”

New Research on Knowledge Management Technology

“…The knowledge process that the Analysis Module (AM) produces for the Semantic KnowCat (SKC) Moreno-Llorena et al, 2009a system may be considered a digestion because its intention is to extract something new and assimilating by the system from the existing knowledge.…”

“…To check the viability of the proposed approach several experiments have been performed with four KC nodes in learning activities carried out in the Universidad Autónoma de Madrid (Spain). The experimental results have shown evidences about how to take advantage of latent knowledge to enrich knowledge base and to facilitate the management task fulfilled by the system, the interaction among its entities and users' access to the contents that have been processed, among other interesting applications Moreno-Llorena et al, 2009a). The enrichment of the proposed content seems to provide a very powerful support for automatic exchange of knowledge among knowledge management systems opening a way to the development of the latter on the semantic Web field (Berners-Lee, 2000).…”