This paper addresses the problem of contour line extraction from scanned topographic maps in poor condition. A novel method is developed, using knowledge of cartography and graphics to extract contours by removing other layers which overlay the contours, and reconstructing…

Presentation of a web collection platform designed to relate and unify information available on different standard web sources with a view to creating a userbrowseable thematic repository. The platform will be used at the Intellectual Creation Diffusion Service combined with…

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,…

The integral development of a conventional broadcasting radio and its emission through internet is an investigative initiative and a pedagogic development. This idea, together with the creation of educative and local contents, wins great relevance in the TIC and the…

Defeasible Logic Programming (DeLP) is a knowledge representation formalism that combines results from Logic Programming and Defeasible Argumentation to provide reasoning based on contradictory and potentially incomplete information. DeLP allows information representation by using weak rules and provides an argumentation…

The objective of this paper is the construction of an Essential Object Model for Information Systems. This model is derived from the organization workflows representing the business processes and follows rules described by the methodology proposed. To achieve the desired…

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…