Ontologies are at the heart of the semantic web. They define the concepts and relationships that make global interoperability possible. However, as these ontologies grow in size they become more and more difficult to create, use, understand, maintain, transform and classify. As ontologies become common in more applications and as those applications become larger and longer-lived, it is becoming increasingly common for ontologies to be developed in different area of public sector of economics. Ontologies present special challenges to the problem of conceptual modeling. This paper describes the process of the implementation of a subontology of forecasting and evaluations for business analysis domain in order to develop an easy and correct way to find the needed statistical information in a knowledge base.