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.
@article{arxiv.1602.07064,
title = {SIFT: An Algorithm for Extracting Structural Information From Taxonomies},
author = {Jorge Martinez-Gil},
journal= {arXiv preprint arXiv:1602.07064},
year = {2016}
}