This paper discusses questions about communication of probabilistic knowledge in the light of current theories of agent communication. It will argue that there is a semantic gap between these theories and research areas related to probabilistic knowledge representation and communication,…

This paper deals with lifelong learning. Based on a three-year case study it provides evidence of innovations in this area. The paper aims to add to the body of work in blended learning by providing evidence of knowledge, persuasion, decision,…

This paper presents a group of elements to improve the teaching and learning in technological education, applied to Information and Communication Technologies (ICT). These elements are based on some contributions issued from contemporary education models, namely, the thematic approach, meaningful…

In the software world portability means power. The more operating environments you can support out of the same code tree means more potential users for your software. If done right, additional platforms can be supported with little extra maintenance cost.…

Document classification has already been widely studied. In fact, some studies compared feature selection techniques or feature space transformation whereas some others compared the performance of different algorithms. Recently, following the rising interest towards the Support Vector Machine, various studies…

El hombre desde que nace empieza a aprender. Algunos conocimientos se adquieren sin percatarnos de ellos, otros necesitan esfuerzos y dedicación, algunos son estrictamente necesarios, otros no lo son tanto. El proceso de búsqueda de relaciones es un modo de…

There exists a large amount of knowledge representation models. But most of them have significant limitations at the epistemic level. They do not have explanatory power. Most of them do not have means to represent some functional needs to work…

The aim of this work is to relate two apparently independent concepts as belief revision and relevance. We propose a formal characterization for the notion of (ir)relevance by means of a set of postulates. Then we define (ir)relevance using change…

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…

We faced with a society identified as a knowledge society, characterized by the rapid development of scientific and technological knowledge, the trends to new ways of working, studying, creating and sharing knowledge, is seen in organizations, and particularly in the…