AMALGAM: Making tabular dataset explicit with knowledge graph
| 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
ORCID: 0000-0002-9799-9484 IDREF: 112800084 | |
| dc.date.accessioned | 2021-07-02T07:19:45Z | |
| dc.date.available | 2021-07-02T07:19:45Z | |
| dc.date.issued | 2020-11-05 | |
| dc.date.conference | 2020-11-05 | |
| dc.identifier.uri | https://oskar-bordeaux.fr/handle/20.500.12278/94959 | |
| dc.description.abstractEn | In this paper we present AMALGAM, a matching approach to annotate tabular dataset with the use of a knowledge graph, developed in the context of the Semantic Web Challenge on Tabular Data to Knowledge Graph Matching (SemTab 2020). The ultimate goal is to provide fast and e cient 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 SemTab 2020 with both Column Type Annotation and Cell Type Annotation tasks showed promising results. | |
| dc.language.iso | EN | en_US |
| dc.title.en | AMALGAM: Making tabular dataset explicit with knowledge graph | |
| dc.type | Communication dans un congrès avec actes | en_US |
| dc.subject.hal | Sciences du Vivant [q-bio]/Santé publique et épidémiologie | en_US |
| dc.subject.hal | Informatique [cs] | en_US |
| bordeaux.page | 9-16 | en_US |
| bordeaux.volume | 2775 | 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 | |
| bordeaux.conference.title | Semantic Web Challenge on Tabular Data to Knowledge Graph Matching, SemTab 2020 | en_US |
| bordeaux.country | fr | |
| bordeaux.title.proceeding | CEUR Workshop Proceedings | en_US |
| bordeaux.team | ERIAS | en_US |
| bordeaux.conference.city | Virtual | en_US |
| bordeaux.peerReviewed | oui | en_US |
| hal.identifier | hal-03285322 | |
| hal.version | 1 | |
| hal.date.transferred | 2021-07-13T09:34:39Z | |
| hal.export | true | |
| bordeaux.COinS | ctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.date=2020-11-05&rft.volume=2775&rft.spage=9-16&rft.epage=9-16&rft.au=AZZI,%20Rabia&DIALLO,%20Abdourahmane%20Gayo&rft.genre=proceeding |
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