A key problem for automating the processing of semi-structured resources is the format heterogeneity among data sources. For dealing with heterogeneous semi-structured data, the correspondence between the different formats has to be established. The multiplicity and the rapid growth of information sources have motivated researchers to develop machine learning technologies for helping to automate those transformations.