 |
Archives Ouvertes : HAL - IMT |  |
Conference papers
Learning How to Correct a Knowledge Base from the Edit History
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.
Cited literature [41 references]
https://hal-imt.archives-ouvertes.fr/hal-02066041
Contributor : Thomas Pellissier Tanon Connect in order to contact the contributor
Submitted on : Wednesday, March 13, 2019 - 10:23:57 AM
Last modification on : Wednesday, October 27, 2021 - 12:29:57 PM
Long-term archiving on: : Friday, June 14, 2019 - 12:51:23 PM
Contributor : Thomas Pellissier Tanon Connect in order to contact the contributor
Submitted on : Wednesday, March 13, 2019 - 10:23:57 AM
Last modification on : Wednesday, October 27, 2021 - 12:29:57 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