No abstract

Currently managing information overload has become a major challenge. How to manage all these data, presented in diverse formats and originating from heterogeneous sources? This paper presents a strategy to perform data fusion effectively. Our strategy deals with the problem of object identification in the context of the Command and Control of the Brazilian Defense Ministry using MIP 1 Data Model from NATO 2 , also known as JC3IEDM 3 . For that, data duplication strategies will be used, as well as clustering, search and information retrieval techniques to study similarity, such as TF-IDF and Thesauri.