Inside an organization there is information that can only be generated by people, then, when a decision maker in any time and anywhere of an organization requires this information, he/she has to solicit it to who has the ability of…

It is commonly acknowledged that we need to accept and handle uncertainty when reasoning with real world data. The most profoundly studied measure of uncertainty is the probability. However, the general feeling is that probability cannot express all types of…

En esta comunicación presentaremos el trabajo que estamos realizando, centrado en la creación de entornos que permitan la construcción conjunta del conocimiento mediante herramientas informáticas, en concreto la herramienta Knowledge Forum como elemento mediador en el proceso de discusión y…

Belief Revision systems are logical frameworks to modeling the dynamics of knowledge. That is, how to modify our beliefs when we recieve new information. The main problem arises when the information is inconsistent with beliefs that represents our epistemic state.…

Por vez primera en la historia de la Educación Superior en Cuba, una Universidad se apresta a introducir en el Plan y Programa de estudio de pregrado, contenidos de las tecnologías de Teledetección Aerospacial y Sistemas de Información Geográficos (SIG)…

Knowledge acquisition for systems based on knowledge can be called knowledge engineering, according to Feigenbaum (1980) who used the term to describe the reduction of a wide context of knowledge for a set of facts and rules. The term Knowledge…

The appearance and continuous growth of virtual communities on the web imposes the challenge of coping with the large amount of information and knowledge these communities produce. The Semantic Web with its set of standards and technologies provides the basic…

Effective document retrieval using domain knowledge and semantics is one of the major challenges in Information Retrieval. Over the last years, there has been a growing interest in ontologies as an artifact for human knowledge representation and a critical component…

This study investigates an approach of knowledge discovery and data mining in insufficient databases. An application of Computational Taxonomy analysis demonstrates that the approach is effective in such a data mining process. The approach is characterized by the use of…

This study investigates an approach of knowledge discovery and data mining in insufficient databases. An application of Computational Taxonomy analysis demonstrates that the approach is effective in such a data mining process. The approach is characterized by the use ot…