Abstract
Goal-oriented modeling is a promising approach to elicit the analytical requirements of decision makers. However, the lack of a technique that formalizes the decision making knowledge necessary for goal elicitation hinders the automation of this type of approaches. In this paper, we propose a process for building a decision making ontology that represents the domain knowledge. The formal aspect of the ontology makes the domain knowledge machine readable, which facilitates the decomposition of goals and automates their elicitation. The usefulness of the ontology in analytical requirements elicitation is assessed through an experimental evaluation.