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Este artículo presenta un nuevo método totalmente automático de
construcción de bases de conocimiento muy densas y precisas a partir de recursos
semánticos preexistentes. Básicamente, el método usa un algoritmo de Interpretación Semántica de las palabras preciso y de amplia…

This article gives an overview and selected findings from a study funded by the Mental Health Foundation in 2007, which
was collaboratively carried out by researchers at Anglia Ruskin University and two freelance researchers. The research
team included members with…

IP Networks, and particularly the Internet, were proposed to be a simple and robust support for heterogeneous communications. This implies that only basic controls have to be done by network elements. Connection management, along with transport, and more generally communication…

This article introduces an approach to anomaly intrusion detection based on a combination of supervised and unsupervised machine learning algorithms. The main objective of this work is an effective modeling of the TCP/IP network traffic of an organization that allows…

We show how to interoperate, semantically and inferentially, between the leading Semantic Web approaches to rules (RuleML Logic Programs) and ontologies (OWL/DAML+OIL Description Logic) via analyzing their expressive intersection. To do so, we define a new intermediate knowledge representation (KR)…

This study presents the results of an empirical test of two hypotheses concerning the
quality of a group of data processing patents on methods of doing business. The
hypotheses are motivated by two frequently voiced criticisms of these…

Objective: The present study evaluates eating habits and behaviors, and nutritional and food safety knowledge of a group of Albanian adolescents. Design: A dietary questionnaire previously constructed and tested was self-administered during school time. Each section was evaluated using a…

David N. Ford and John D. Sterman., Includes bibliographical references (p. 24-25)., Supported by the Python organization, the Organizational Learning Center and the System Dynamics Group at the MIT Sloan School of Management.

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…