A Multiagent Architecture for Information Retrieval in Distributed and Heterogeneous Data Sources

With the consolidation of the Internet and other computer networks, the need of sophisticated systems to retrieve information increased enormously. In these networks, information is distributed on several machines and sometimes in different formats. In this context, we propose an architecture that besides retrieving information can classify it according to some criteria. To implement the proposed architecture, we used some existing technologies such as mobile agents to transport information between data sources; the Naive Bayes model for classification; the Java language and the XML model for development and storage of the required information.