Abstract
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. © Springer-Verlag Berlin Heidelberg 2007.
Cite
CITATION STYLE
Stegmayer, G., Caliusco, M., Chiotti, O., & Galli, M. (2007). ANN-agent for distributed knowledge source discovery. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4805 LNCS, pp. 467–476). Springer Verlag. https://doi.org/10.1007/978-3-540-76888-3_69
Register to see more suggestions
Mendeley helps you to discover research relevant for your work.
