The design of intelligent agents is greatly influenced by the many different models that exist to represent knowledge. It is essential that such agents have computationally adequate mechanisms to manage its knowledge, which more often than not is incomplete and/or…

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 ot…

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…

In this paper, we build on previous work on Belief Revision operators based on the use of logic programming with Answer Set semantics as a representation language. We present a set of postulates for Answer Set Revision with respect to…

Argumentative formalisms have been widely recognized as knowledge representation and reasoning tools able to deal with incomplete and potentially contradictory informa- tion. All such formalisms are computationally demanding. Hence, optimizing argumen- tative systems has been approached from di erent views.

MoKEx (Mobile Knowledge Experience) is an international project in cooperation with universities and industrial partners. The project focuses on didactical, organizational and technical problems with regard to blended learning and knowledge management scenarios. In a project-based learning approach students of…

En este trabajo se presentan los resultados de los estudios zooarqueológicos realizados en el poblado de Nombre de Jesús (cabo Vírgenes, provincia de Santa Cruz, Argentina) establecido como parte del proyecto español de fortificación del Estrecho Magallanes a fines del…