In the paper we present a design of a decision support system for the fully automated controlled retrieval of fiscal information, which is being continuously collected from a variety of sources, mainly from the global computer network. This system extends the idea of data mining to the notion of knowledge retrieval. The collected information is processed in a knowledge-intensive way using knowledge models of the application domain and can subsequently be used to support various decision-making processes.