AMALGAM: A Matching Approach to Fairfy TabuLar Data with KnowledGe GrAph Model
| dc.rights.license | open | en_US |
| hal.structure.identifier | Bordeaux population health [BPH] | |
| dc.contributor.author | AZZI, Rabia | |
| hal.structure.identifier | Bordeaux population health [BPH] | |
| dc.contributor.author | DIALLO, Abdourahmane Gayo
IDREF: 112800084 | |
| dc.date.accessioned | 2021-07-15T08:34:42Z | |
| dc.date.available | 2021-07-15T08:34:42Z | |
| dc.date.issued | 2021-03-29 | |
| dc.identifier.isbn | 978-3-030-72651-5 (Online) 978-3-030-72650-8 | en_US |
| dc.identifier.uri | https://oskar-bordeaux.fr/handle/20.500.12278/109243 | |
| dc.description.abstractEn | 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 background knowledge. The approach combines lookup and filtering services combined with text pre-processing techniques. Experiments conducted in the context of the 2020 Semantic Web Challenge on Tabular Data to Knowledge Graph Matching with both Column Type Annotation and Cell Type Annotation tasks showed promising results. | |
| dc.language.iso | EN | en_US |
| dc.source.title | Advances in Intelligent Systems and Computing | en_US |
| dc.subject.en | Tabular data | |
| dc.subject.en | Knowledge graph | |
| dc.subject.en | Entity linking | |
| dc.title.en | AMALGAM: A Matching Approach to Fairfy TabuLar Data with KnowledGe GrAph Model | |
| dc.type | Chapitre d'ouvrage | en_US |
| dc.identifier.doi | 10.1007/978-3-030-72651-5_8 | en_US |
| dc.subject.hal | Sciences du Vivant [q-bio]/Santé publique et épidémiologie | en_US |
| bordeaux.page | 76-86 | en_US |
| bordeaux.volume | 1366 | en_US |
| bordeaux.hal.laboratories | Bordeaux Population Health Research Center (BPH) - UMR 1219 | en_US |
| bordeaux.institution | Université de Bordeaux | en_US |
| bordeaux.institution | INSERM | en_US |
| bordeaux.team | ERIAS | en_US |
| bordeaux.inpress | non | en_US |
| hal.identifier | hal-03286767 | |
| hal.version | 1 | |
| hal.date.transferred | 2021-07-15T08:34:47Z | |
| hal.export | true | |
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