Web Directories as a Knowledge Base to Build a Multi-Agent System for Information Sharing

Salvatore Vitabile, Giorgio Vassallo, Filippo Sorbello, Salvatore Vitabile, Giovanni Pilato

Risultato della ricerca: Articlepeer review

6 Citazioni (Scopus)


A neural based multi-agent system, exploiting the Web Directories as a Knowledge Base for information sharing and documents retrieval, is presented. The system is based on the EαNet architecture, a neural network capable of learning the activation function of its hidden units and having good generalization capabilities. System goal is to retrieve, among documents shared by a networked community, documents satisfying a query and dealing with a specific topic. The system is composed by four agents: the Trainer Agent, the Neural Classifier Agent, the Interface Agent, and the Librarian Agent. The sub-symbolic knowledge of the Neural Classifier Agent is automatically updated each time a new, not included before, document topic is requested by users. The system is very efficient: the experimental results show that, in the best case, a classification error about 10% is obtained.
Lingua originaleEnglish
pagine (da-a)265-277
Numero di pagine13
RivistaWeb Intelligence and Agent Systems
Stato di pubblicazionePublished - 2004

All Science Journal Classification (ASJC) codes

  • Software
  • Computer Networks and Communications
  • Artificial Intelligence

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