AMALGAM: A Matching Approach to Fairfy TabuLar Data with KnowledGe GrAph Model
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Chapitre d'ouvrage
Este ítem está publicado en
Advances in Intelligent Systems and Computing. 2021-03-29, vol. 1366, p. 76-86
Resumen en inglés
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 ...Leer más >
Palabras clave en inglés
Tabular data
Knowledge graph
Entity linking