Por favor utiliza este link para citar o compartir este documento: http://repositoriodigital.academica.mx/jspui/handle/987654321/81787
Título: Artificial Learning approaches for the next generation web: part I
Palabras clave: Ontology creation process
semantic Web approach
clustering
pattern recognition
artificial neural networks
Fecha de publicación: 16-Jul-2012
Editorial: Ingeniería, investigación y tecnología
Descripción: In this paper we present a review of learning approaches that have been used by the research community to carry out clustering and pattern recognition tasks. Artificial neural net works are then introduced by presenting existing topologies, learning algorithms, and recall approaches . Finally, the relation of these techniques with the semantic web ontology creation process, as we envision it, is introduced. In part II of this paper, an artificial learning approach based on Self-Organizing Maps (SOM) that we have proposed as an ontology learning tool for assembling and visualizing ontology components from a specific domain for the semantic web is introduced.
Other Identifiers: http://www.scielo.org.mx/scielo.php?script=sci_arttext&pid=S1405-77432008000100006
Aparece en las Colecciones:Ingeniería, Investigación y Tecnología

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