Modelling intelligent agents for information filtering

Abstract

This paper presents a model of filtering agents for the search of information from heterogeneous sources. This model deals in particular with user requests and with source requests in the process of information filtering. Typically, a task of filtering is subdivided into sub-tasks, which are then executed by different agents; each endowed with a specific expertise. These agents are thus integrated into a multi-agent architecture. The communication between the agents is accomplished by the exchange of messages expressed in the KQML and ISAME languages, using previously-defined ontologies.