This paper addresses some lexical issues in the development of XUNL - a knowledge representation language descendent from and alternative to the Universal Networking Language (UNL). We present the current structure and the role of Universal Words (UW) in UNL…

The necessity of verification tools for Knowledge Based-Systems (KBSs), that help to guarantee a certain degree of quality and reliability of these systems will increase in the future when more critical systems are developed in areas such as industry, science,…

Translation capability of a Phrase-Based Statistical Machine Translation (PBSMT) system mostly depends on parallel data and phrases that are not present in the training data are not correctly translated. This paper describes a method that efflciently expands the existing knowledge…

In this paper, we propose semantic enterprise search as promising technical methodology for improving on accessibility to institutional knowledge. We briefly discuss the nature of knowledge and ignorance in respect to web-based information retrieval before introducing our particular view on…

OBJECTIVE:To assess Mexico City physicians' knowledge and practices regarding cervical cancer and human papillomavirus (HPV) to compare obstetricians/gynecologists (ob/gyns) and general practitioners (GPs) on these variables MATERIAL AND METHODS: In April 2003, 187 ob/gyns and GPs working in 15 hospitals…

Automatic keyword extraction is an important subfield of information extraction process. It is a difficult task, where numerous different techniques and resources have been proposed. In this paper, we propose a generic approach to extract keyword from documents using encyclopedic…

In this paper we present a very simple derivation of the constants of motion for dynamical systems, which requires only an elementary knowledge of the theory of continuous groups. In addition, through the infinitesimal Lorenz transformations group, we obtain a…

Indigenous knowledge and the millenary experience in management of natural vegetation on karstic landscapes are important aspects that should be considered in animal production in seasonal tropical environments. The aim of the present work was to make an inventory of…

A fuzzy cognitive map is a graphical means of representing arbitrary complex models of interrelations between concepts. The purpose of this paper is to describe a dynamic/adaptive fuzzy cognitive map based on the random neural network model. Previously, we have…

Here, we address the task of assigning relevant terms to thematically and semantically related sub-corpora and achieve superior results compared to the baseline performance. Our results suggest that more reliable sets of keyphrases can be assigned to the semantically and…