To extract informative terms through known relevance information for query expansion is an important issue in the design of an effective text retrieval system. Various discriminant functions have been developed as a device for eliciting good terms. In this paper the notion of informativeness of terms is interpreted and discriminant functions are formalised both based on information-theoretic ideas for automatic query expansion. Preliminary results show that the approach adopted in this paper is worthy of continued investigation.