Towards the Re-identification of Individuals in Data Files with Non-common Variables

Record linkage is used to establish relationships between records of two different data £les. In this work, record linkage is studied for £les that correspond to the same set of individuals but that do not share a common set of variables. Under this circumstance, classical techniques can not be applied. We present an approach to this problem based on clustering techniques and knowledge integration ones. In this way, common underlying structures in both £les can be detected and re-identi£cation is possible. This approach is based on some basic assumptions that are made explicit in this work.