VICKEY: Mining Conditional Keys on Knowledge Bases - Archive ouverte HAL Access content directly
Conference Papers Year :

VICKEY: Mining Conditional Keys on Knowledge Bases

(1) , (2) , (3, 4) , (3, 4) , (5)
1
2
3
4
5

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 percentage points.
Fichier principal
Vignette du fichier
main.pdf (428.78 Ko) Télécharger le fichier
Origin : Files produced by the author(s)
Loading...

Dates and versions

hal-01647597 , version 1 (24-11-2017)

Identifiers

  • HAL Id : hal-01647597 , version 1

Cite

Danai Symeonidou, Luis Galárraga, Nathalie Pernelle, Fatiha Saïs, Fabian Suchanek. VICKEY: Mining Conditional Keys on Knowledge Bases. International Semantic Web Conference (ISWC), Oct 2017, Vienne, Austria. pp.661-677. ⟨hal-01647597⟩
710 View
239 Download

Share

Gmail Facebook Twitter LinkedIn More