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The paper is devoted to application of the context mediation, an approach for achieving semantic interoperability among sources and consumers of large-scale semantically heterogeneous databases, for assisting decision making. Within this approach interoperability among heterogeneous data sources and consumers (decision support systems) is achieved by comparison of contexts of any source and consumer participating in data integration and elimination of detected semantic conflicts. This comparison uses ontology as specification of concepts, their properties and relationships between them in a knowledge domains the sources and consumer belong to. This work is concentrated on building ontology to assist decision making used the approach of context mediation.