Learning How to Correct a Knowledge Base from the Edit History - Equipe Data, Intelligence and Graphs Accéder directement au contenu
Communication Dans Un Congrès Année : 2019

Learning How to Correct a Knowledge Base from the Edit History

Résumé

The curation of a knowledge base is a crucial but costly task. In this work, we propose to take advantage of the edit history of the knowledge base in order to learn how to correct constraint violations. Our method is based on rule mining, and uses the edits that solved some violations in the past to infer how to solve similar violations in the present. The experimental evaluation of our method on Wikidata shows significant improvements over baselines.
Fichier principal
Vignette du fichier
2019-WWW-corhist.pdf (647.42 Ko) Télécharger le fichier
Origine : Fichiers éditeurs autorisés sur une archive ouverte
Loading...

Dates et versions

hal-02066041 , version 1 (13-03-2019)

Licence

Paternité

Identifiants

Citer

Thomas Pellissier Tanon, Camille Bourgaux, Fabian M. Suchanek. Learning How to Correct a Knowledge Base from the Edit History. World Wide Web Conference, May 2019, San Francisco, United States. ⟨10.1145/3308558.3313584⟩. ⟨hal-02066041⟩
198 Consultations
351 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More