AMALGAM: A Matching Approach to Fairfy TabuLar Data with KnowledGe GrAph Model
Langue
EN
Chapitre d'ouvrage
Ce document a été publié dans
Advances in Intelligent Systems and Computing. 2021-03-29, vol. 1366, p. 76-86
Résumé en anglais
In this paper we present AMALGAM, a matching approach to fairify tabular data with the use of a knowledge graph. The ultimate goal is to provide fast and efficient approach to annotate tabular data with entities from a ...Lire la suite >
Mots clés en anglais
Tabular data
Knowledge graph
Entity linking