This presentation offers an introduction to the issues of the use of semantics at the data level. The increasing and massive use of data brings a significant change for science. All disciplines need new tools that can handle not only large datasets, but also the cross-product of large and diverse datasets. There are several multi-faceted challenges related to this evolution. The question is whether this is a 'fourth paradigm' or a further development of the empirical component of science.