This paper describes the development of an image retrieval
system that combines probabilistic and ontological information1. The
process is divided in two different stages: indexing and retrieval. Three
information flows have been created with different kind of information
each one:…

We present a socially inspired approach that allows agents in Multi-Agent Systems to speed up their own learning process through communication. Thereby, they are able to trade off impact of knowledge by mutation dependent on the recent performance of the…

Defeasible argumentation is one of the approaches that attempt to address the challenges arising when we reason defeasibly, with several formalisms in the literature reaching a mature state. Nowadays, several of them started shifting their semantics towards a dialectical characterization.…

Forecast models based on climatic conditions are of great interest in Integrated Pest Management (IPM) programs. The success of these models depends, among other factors, on the knowledge of the temperature effect on the pests? population dynamics. In this direction,…

In this paper, we present an approach to student's evaluation in a well-defined domain based on a semantic network. A similarity matrix based on the semantic memory structure of humans is used to build a semantic distance model in order…

Sucrose is one of the compounds in the raw coffee bean that has been identified as an important precursor of coffee flavour and aroma. In order to increase our knowledge of sucrose metabolism in coffee species, sucrose and reducing sugar…

This paper provides lessons learned and some unexpected transformations in the learning process when advanced collaboration technology was used to overcome limitations of a popular, existing collaboration technology. The activities pursued in these advanced undergraduate and graduate computer and information…

It has been noticed that during the initial semesters of Computing Engineering that the amount of human tutors is insufficient. The students/tutors ratio is very high and there is a great difference in the acquired knowledge and backgrounds. The idea…

La climatología histórica es una especialidad que empieza a tener en Europa un nutrido colectivo de investigadores. El interés por mejorar el conocimiento de la variabilidad climática ha llevado a recuperar información de los archivos históricos para caracterizar el clima…

Data mining is at the core of the knowledge discovery process. However, an initial preprocessing step is crucial for assuring reliable results within this process. Preprocessing of data is a time-consuming and non-trivial task since data quality issues should be…