Citizens demand more and more data for making decisions in their daily life. Therefore, mechanisms that allow citizens to understand and analyze linked open data (LOD) in a user-friendly manner are highly required. To this aim, the concept of Open…

Purpose – The idea that knowledge management can be a potential source of competitive advantage has gained strength in the last few years. However, a number of business actions are needed to generate an appropriate environment and infrastructure for knowledge…

Esta comunicación describe la generación automática y la evaluación de conjuntos de
reglas para la desambiguación del sentido de las palabras (DSP) en la traducción automática. El
objetivo principal es identificar reglas de alta calidad que se pueden utilizar como…

El artículo trata sobre el uso de información lingüística en la Desambiguación Semántica Automática (DSA). Proponemos un método de DSA basado en conocimiento y no supervisado, que requiere sólo un corpus amplio, previamente etiquetado a nivel morfológico, y muy poco…

En este artículo se presenta un modelo del sistema de pronombres clíticos del español.
Se presenta una revisión detallada del fenómeno incluyendo la llamada “subida de clíticos” tanto
simple como compleja, así como el fenómeno relacionado de los reflexivos, y…

Information Retrieval Systems normally deal with keywordbased technologies. Although those systems reach satisfactory results, they aren’t able to answer more complex queries done by users, especially those directly in natural language. To do that, there are the KnowledgeBased Systems, which…

We propose a framework for studying the effect of KDD on CRM in the Egyptian banking sector. We believe that the KDD process and applications may perform a significant role in Egyptian banks to improve CRM, in particular for customer…

We discuss how data mining, patternbases and databases can be integrated into inductive databases, which make data mining an inductive query process. We propose a software architecture for such inductive databases, and extend this architecture to support the clustering of…

The knowledge imperfections should be considered when modeling complex problems. A solution is to develop a model that reduces the complexity and another option is to represent the imperfections: uncertainty, vagueness and incompleteness in the knowledge base. This paper proposes…

In the information age, knowledge leads to profits, power and success. As an ancestor of data mining, machine learning has concerned itself with discovery of new knowledge on its own. This paper presents experiment results produced by genetic algorithms in…