El descubrimiento de conocimiento (KD Knowledge Discovery) consiste en la búsqueda de patrones interesantes y de regularidades importantes en grandes bases de información [Holsheimer y Siebes, 1991; Piatetski-Shapiro et al., 1991]. Al hablar de descubrimiento de conocimiento basado en sistemas…

Associating the pattern in text data with the pattern with time series data is a novel task. In this paper, an approach that utilizes the features of the time series data and domain knowledge is proposed and used to identify…

Adaptive systems behavior based on user models appear promising, mostly for complex environments such as mixed reality environments (MRE).
An MRE comprises a virtual representation of the reality as well as physical objects augmented with virtual features. These objects are…

Focusing on the Ontology Change problem, we consider an environment where Description Logics (DLs) are the logical formalization to express knowledge bases, and the integration of distributed ontologies is developed under new extensions and modifications of the Belief Revision theories…

La finalidad de este proyecto es la de generar una metodología, con las técnicas y herramientas corerspondientes; para brindar información relativa al costo de desarrollo de un Sistema Experto. En base a la propuesta, los CIO´s (Chief Information Officer) podrán…

Desde el Laboratorio Pericial Informático del Poder Judicial del Neuquén se impulsan actividades de I+D orientadas a la gestión del conocimiento aplicada al peritaje informático.
Se pretende generar un cuerpo de conocimientos que sea útil para la formación de profesionales…

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…

Lawyers often need to look for previous similar legal cases when analysing new ones.
The more previous cases, the more time is spent. Classical search engines execute termbased retrieval, which may miss relevant documents as well as fetch several irrelevant…

This work describes a multi agent system designed to support the management of tacit knowledge that belongs to people of an organization. This is a distributed knowledge management system based on the use of mobile agents, which receive the user's…

Evolutionary algorithms (EAs) are merely blind search algorithms, which only make use of the relative fitness of solutions, but completely ignore the nature of the problem. Their performance can be improved by using new multirecombinative approaches, which provide a good…