Artículo
Knowledge Source Discovery: An experience using Ontologies, WordNet and Artificial Neural Networks
Fecha de publicación:
09/2009
Editorial:
Springer
Revista:
Lecture Notes in Computer Science
ISSN:
0302-9743
Idioma:
Inglés
Tipo de recurso:
Artículo publicado
Clasificación temática:
Resumen
This paper describes our continuing research on ontology-based knowledge source discovery on the Semantic Web. The research documented here is focused on discovering distributed knowledge sources from a user query using an Artificial Neural Network model. An experience using the Wordnet multilingual database for the translation of the terms extracted from the user query and for their codification is presented here. Preliminary results provide us with the conviction that combining ANN with WordNet has clearly made the system much moreeficient.
Palabras clave:
ontology matching
,
neural classifier
,
wordnet
Archivos asociados
Licencia
Identificadores
Colecciones
Articulos(CCT - SANTA FE)
Articulos de CTRO.CIENTIFICO TECNOL.CONICET - SANTA FE
Articulos de CTRO.CIENTIFICO TECNOL.CONICET - SANTA FE
Citación
Rubiolo, M.; Caliusco, M.L.; Stegmayer, Georgina; Gareli, M.; Coronel, M.; Knowledge Source Discovery: An experience using Ontologies, WordNet and Artificial Neural Networks; Springer; Lecture Notes in Computer Science; 5712; 1; 9-2009; 66-73
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