  In this work we present SIFT, a 3-step algorithm for the analysis of the
structural information represented by means of a taxonomy. The major advantage
of this algorithm is the capability to leverage the information inherent to the
hierarchical structures of taxonomies to infer correspondences which can allow
to merge them in a later step. This method is particular relevant in scenarios
where taxonomy alignment techniques exploiting textual information from
taxonomy nodes cannot operate successfully.
