Record Linkage (RL) is an important component of data cleansing and integration. For years, many efforts have focused on improving the performance of the RL process, either by reducing the number of record comparisons or by reducing the number of attribute comparisons, which reduces the computational time, but very often decreases the quality of the results. However, the real bottleneck of RL is the post-process, where the results have to be reviewed by experts that decide which pairs or groups of records are real links and which are false hits. In this paper, we show that exploiting the relationships (e.g. foreign key) established between one or more data sources, makes it possible to find a new sort of semantic blocking method that improves the number of hits and reduces the amount of review effort.