Governance can be considered as the way in which companies are directed and controlled. In any governance process, effective experience reuse is an increasingly important asset, representing source of competitive advantage in making decisions. As an example, an adequate level of experience is needed for taking decisions related to resource allocation and, in particular, for team allocation with regard to a specific problem. In this scenario, we propose an experience-based Decision Support System (DSS) supporting Governance processes (i.e. decision-making processes), capable of exploiting previous decisions made by the governance board for solving similar problems. The DSS relies on a semantic formalization of the characteristics of the resources to be allocated and of the problem to be solved. Consequently, when there is a new allocation problem, the DSS can identify the most suitable set of resources to employ. Among them, it is possible to select the best one for the specific problem by exploiting previous experiences of the governance board. The DSS uses pattern-mining techniques in order to discover association rules among different kind of resources, reflecting experiences of the governance board in taking such kind of decisions.
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