Skip to Main content Skip to Navigation
Conference papers

VICKEY: Mining Conditional Keys on Knowledge Bases

Abstract : A conditional key is a key constraint that is valid in only a part of the data. In this paper, we show how such keys can be mined automatically on large knowledge bases (KBs). For this, we combine techniques from key mining with techniques from rule mining. We show that our method can scale to KBs of millions of facts. We also show that the conditional keys we mine can improve the quality of entity linking by up to 47% points.
Document type :
Conference papers
Complete list of metadata

https://hal.inrae.fr/hal-02735115
Contributor : Migration Prodinra Connect in order to contact the contributor
Submitted on : Tuesday, June 2, 2020 - 2:58:32 PM
Last modification on : Thursday, July 8, 2021 - 3:50:00 AM

Links full text

Identifiers

Citation

Danai Symeonidou, Luis Galárraga, Nathalie Pernelle, Fatiha Saïs, Fabian Suchanek. VICKEY: Mining Conditional Keys on Knowledge Bases. 16. International Semantic Web Conference (ISWC2017), Oct 2017, Vienne, Austria. ⟨10.1007/978-3-319-68288-4_39⟩. ⟨hal-02735115⟩

Share

Metrics

Record views

25