The authors propose two algorithms for generating a DTD and an XML document respectively from the metadata and the content of a relational database without any intermediary language or user intervention. Such algorithms always generate semantically correct XML output by respecting database functional dependencies represented in a graph structure they take as input. Finally, different XML representations (or views) meeting expectations of different kind of users can be obtained from the same data according to the data entity chosen as translation pivot.