SIFT: An algorithm for extracting structural information from taxonomies
| J. Martinez-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 | |
| Typ | Sonstiges |
| Journal | cs.DB - Databases, arXiv:1602.07064 [cs.DB] |
| Monat | 2 |
| Jahr | 2016 |
| Seiten | http://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. |