The WEB has spread out the use of heterogeneous distributed databases. Sometimes, the answer to a query demands the use of more than one database. Some level of integration among these databases is desired. However, frequently, the bases were not designed according a unique semantic pattern. Thus, it seems essential to relate the different data, in the respective base, in order to provide an adequate answer to the query. The process of building this relationship is often called data integration. The Data Base community has acquired enough knowledge to deal with this in the context of Data Base Heterogeneous Federation. Nowadays, there are more expressive model descriptions, namely ontologies. The Data Base community has also considered ontologies as a tool to contribute as part of a solution to the data integration problem. The Semantic WEB community defined alignment or merge of ontologies as one of the possible solutions to the some of this integration problem. This work has the aim of using merge of ontologies methods as a mean to define the construction of a Federation of ontologies as a mean to integrate source of data. The dissertation includes a case study written in the Protegé tool. From this case study, a discussion follows on the scalability and applicability of the proposal as a feasible technological solution for data integration.