Geographic knowledge discovery (GKD) is the process of extracting information and knowledge from massive georeferenced databases. Usually the process is accomplished by two different systems, the Geographic Information Systems (GIS) and the data mining engines. However, the development of those…

Obtaining an implementation of a data warehouse is a complex task that forces designers to acquire wide knowledge of the domain, thus requiring a high level of expertise and becoming it a prone-to-fail task. Based on our experience, we have…

Encontrar un formalismo adecuado para representar la paráfrasis constituye un reto para el Procesamiento del Lenguaje Natural. En este artículo, se analiza la distancia de edición de árboles como caso base para dicha representación. Los experimentos realizados utilizando Edit Distance…

Most Natural Language Processing (NLP) systems traditionally use a sequential architecture that represents the classical linguistic levels (lexical-morphological, syntactical, semantic, etc.), but they claim for huge and monolithic modules, that make the backtracking among such modules difficult. By using a…

This paper focuses on the general problem of the lexical bottleneck and, in particular, on the issues of semantic clustering and disambiguation by means of word usage cues obtained from sublanguage-specific corpora. Our approaches combines the use of numerical techniques…

In this paper we introduce a probabilistic approach to support visual supervision and gesture recognition. Task knowledge is both of geometric and visual nature and it is encoded in parametric eigenspaces. Learning processes for compute modal subspaces (eigenspaces) are the…

Purpose – Faced with increasing environmental problems, traditional methods for transmitting information regarding corporate environmental actions are insufficient. Accordingly, the purpose of this paper is to suggest the environmental capital report, the knowledge map and the balanced scorecard as alternative…

En muchas bases de conocimiento para el PLN prevalece actualmente un enfoque lexicista. En cambio, FunGramKB utiliza la ontología como módulo pivote entre los niveles léxicos y cognitivos, convirtiéndose así en el componente más importante. El propósito de este artículo…

In big companies, managerial activities and organizational boundaries will over time hide most unevenly developed skill and knowledge distribution patterns; studying the organizations with the means of modern applied physics is thus quite difficult. People are forced to communicate along…

Data mining is at the core of the knowledge discovery process. However, an initial preprocessing step is crucial for assuring reliable results within this process. Preprocessing of data is a time-consuming and non-trivial task since data quality issues should be…