INGAR   05399
INSTITUTO DE DESARROLLO Y DISEÑO
Unidad Ejecutora - UE
artículos
Título:
ANN-agent for Distributed Knowledge Source Discovery
Autor/es:
G. STEGMAYER; M. L. CALIUSCO; O. CHIOTTI; M. R. GALLI
Revista:
LECTURE NOTES IN COMPUTER SCIENCE
Editorial:
Springer Berlin / Heidelberg
Referencias:
Año: 2007 vol. 4805 p. 467 - 476
ISSN:
0302-9743
Resumen:
This paper presents an Artificial Neural Network-based (ANN) agent with capabilities for discovering distributed knowledge sources. This agent has the responsibility of guiding knowledge requirements towards distributed ontology domains in the Semantic Web, indicating i.e. potentially partners for the establishment of a dynamic collaborative relationship. The agent performs its task through a neural network model. This work shows a proposed reference architecture, explains the ontology- matching model ANN-based for the agent and presents preliminary good results obtained.