SIFT: An algorithm for extracting structural information from taxonomies

J. Martínez Gil. SIFT: An algorithm for extracting structural information from taxonomies. cs.DB - Databases, arXiv:1602.07064 [cs.DB], pages http://arxiv.org/abs/1602.07064, 2, 2016.

Autoren
  • Jorge Martínez Gil
TypSonstiges
Journalcs.DB - Databases, arXiv:1602.07064 [cs.DB]
Monat2
Jahr2016
Seitenhttp://arxiv.org/abs/1602.07064
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.