Use of Agents to Realize a Federated Searching of Learning Objects

A traditional search applied in a federation of learning objects repositories consumes a lot of resources in time, large numbers of queries and registers. The main improvement proposed in this work is the insertion of agents approach in order to have pertinent results with less consuming resources and covering the expectations of user. An advantage to use the agent approach is possible to apply semantic searching of learning objects.