We show how to approximate de Finetti's measure of a partially exchangeable sequence by a mixture of products of Dirichlet measures, explicitly built once the approximation error has been fixed. These results are used to give a general method for the elicitation of prior distributions corresponding to partially exchangeable sequences, when prior information essentially derive from available data relative to phenomena similar to that we consider.