Collaborative systems are becoming a widely used tool particularly among professional communities and research groups. They provide a suitable context for distributed people working on the same subject to concentrate their work in a shared place to which everyone has…

Ontology integration is the problem of combining data sources in the SemanticWeb. Concepts in source ontologies are captured in terms of concepts de ned in a global ontology. When some of these ontologies are inconsistent, the knowledge engineer often has…

Multiagent systems and online communities rely on rating systems to infer the reputation given to an individual within a particular context. The notion of reputation is essential for helping a given individual to trust in other individuals and for being…

Tardiness related objectives are of utmost importance in production systems when client satisfaction is a main goal of a company. These objectives measure the system response to the client requirements and rate manager´s performance In scheduling problems with diverse single…

La investigación universitaria es una de las actividades que realiza las funciones de:
generación, transmisión, difusión y explotación del conocimiento. Esta línea de investigación aborda la necesidad de gestionar la investigación universitaria desde la perspectiva de la gestión del Capital…

There are three kinds of uncertainty in the process of fish-disease diagnosis, such as randomicity, fuzzy and imperfection, which affect the veracity of fish-disease diagnostic conclusion. So, it is important to construct a fish-disease diagnostic model to effectively deal with…

The evolution of Television as a source of information has reached the top of quality whith the Interactive Digital Television (TVDi), a technological step that allow users to become active from pasive. TVDi program is, on informatic terms, a software…

As many authors have stated, the importance of organizational learning is fundamental in order to gain competitive advantage and survive in a turbulent environment. Many learning models have been studied in recent years. They have been used to analyze practices…

Este artigo tem por objetivo apresentar parte do estudo realizado sobre sintonia de performance de banco de dados que consiste em levantar e propor um conjunto de regras que melhore o desempenho de aplicações de banco de dados. São apresentadas…

Artificial Intelligence deals with the challenge of modeling commonsense reasoning. In the last fifteen years argument-based systems have came forward to meet this challenge as knowledge representation and reasoning tools able to model incomplete and conflicting information. We believe that…