SIFT: An algorithm for extracting structural information from taxonomies

Authors Jorge Martínez Gil
Editors
Title SIFT: An algorithm for extracting structural information from taxonomies
Type misc
Journal cs.DB - Databases, arXiv:1602.07064 [cs.DB]
Month February
Year 2016
Pages http://arxiv.org/abs/1602.07064
SCCH ID# 1629
Abstract

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.