Towards an agent approach in a federating search 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 intelligent agents in order to have pertinent results with less consuming resources and covering the expectations of user communities. Additional advantages using agent approach in a federated search is possible to get the information in a semantic way the searches of learning objects.