Web Directories as a Knowledge Base to Build a Multi-Agent System for Information Sharing (Articolo in rivista)

Type

• Articolo in rivista (Classe)
• Prodotto della ricerca (Classe)

Label

• Web Directories as a Knowledge Base to Build a Multi-Agent System for Information Sharing (Articolo in rivista) (literal)

Anno

• 2004-01-01T00:00:00+01:00 (literal)

Alternative label

• G. Pilato; S. Vitabile; G. Vassallo; V. Conti; F. Sorbello (2004)
  Web Directories as a Knowledge Base to Build a Multi-Agent System for Information Sharing
  in Web intelligence and agent systems
  (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori

• G. Pilato; S. Vitabile; G. Vassallo; V. Conti; F. Sorbello (literal)

Pagina inizio

• 265 (literal)

Pagina fine

• 277 (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroVolume

• 2 (literal)

Rivista

• Web intelligence and agent systems (Rivista)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroFascicolo

• 4 (literal)

Note

• Scopu (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni

• ICAR; Università di Palermo (literal)

Titolo

• Web Directories as a Knowledge Base to Build a Multi-Agent System for Information Sharing (literal)

Abstract

• . 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 E?Net 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. (literal)

Prodotto di

• F.A.C.I.L.E. - Framework ad agenti cognitivi per la gestione e fruizione intelligente di informazioni sensoriali, conoscenze e servizi avanzati (ICT.P08.003.001) (Modulo)
• Institute for high performance computing and networking (ICAR) (Istituto)

Autore CNR

• GIOVANNI PILATO (Persona)
• SALVATORE VITABILE (Unità di personale interno)

Incoming links:

Prodotto

• Institute for high performance computing and networking (ICAR) (Istituto)
• F.A.C.I.L.E. - Framework ad agenti cognitivi per la gestione e fruizione intelligente di informazioni sensoriali, conoscenze e servizi avanzati (ICT.P08.003.001) (Modulo)

Autore CNR di

• GIOVANNI PILATO (Persona)
• SALVATORE VITABILE (Unità di personale interno)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#rivistaDi

• Web intelligence and agent systems (Rivista)