Nowadays, data intensive applications are in constant demand and there is need of computing environments with better intelligent capabilities than those present in today's Database Management Systems (DBMS). To build such systems we need formalisms that can perform complicate inferences,…

In this work, we discuss aspects of a framework to support the understanding and the improvement in hypermedia development processes. The framework is built taking into account two modeling approaches and four domain levels. The modeling approaches are called prescriptive…

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…

La llegada de las Tics a la escuela, han provocado un cambio en los procesos de enseñanza y aprendizaje, como así también un cambio en el alumno que ahora es el principal protagonista de su conocimiento, y con lo cual,…

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…

A fuzzy controller is usually designed by formulating the knowledge of a human expert into a set of linguistic variables and fuzzy rules. As it is well known, the use of prior knowledge can dramatically improve the performance and quality…

En este trabajo se formula una propuesta de arquitectura de integración entre sistemas de descubrimiento de conocimiento (adquisición automática) y sistemas basados en conocimiento (sistemas expertos). Se formulan consideraciones sobre la viabilidad de implementación de dicha arquitectura en función de…

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…

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…

Humans have always been intrigued by their ability to reason. We have constantly attempted to emulate this process, trying almost everything, from physiological explanations, to sociological accounts. The approach with possibly the longest tradition conceives this process as a mere…