Learning How to Correct a Knowledge Base from the Edit History

Thomas Tanon 1 Camille Bourgaux 2 Fabian Suchanek 1
2 VALDA - Value from Data
DI-ENS - Département d'informatique de l'École normale supérieure, Inria de Paris
Abstract : 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.
Complete list of metadatas

Cited literature [41 references]  Display  Hide  Download

https://hal-imt.archives-ouvertes.fr/hal-02066041
Contributor : Thomas Pellissier Tanon <>
Submitted on : Wednesday, March 13, 2019 - 10:23:57 AM
Last modification on : Wednesday, July 3, 2019 - 3:02:03 PM
Long-term archiving on : Friday, June 14, 2019 - 12:51:23 PM

File

2019-WWW-corhist.pdf
Publisher files allowed on an open archive

Licence


Distributed under a Creative Commons Attribution 4.0 International License

Identifiers

Données associées

Citation

Thomas Tanon, Camille Bourgaux, Fabian Suchanek. Learning How to Correct a Knowledge Base from the Edit History. World Wide Web Conference, May 2019, San Francisco, United States. ⟨10.1145/3308558.331358⟩. ⟨hal-02066041⟩

Share

Metrics

Record views

103

Files downloads

82