VICKEY: Mining Conditional Keys on Knowledge Bases

Danai Symeonidou, Luis Antonio Galarraga Del Prado, Nathalie Pernelle, Fatiha Saïs, Fabian Suchanek

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18 Citationer (Scopus)

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.
OriginalsprogEngelsk
Titel International Semantic Web Conference ISWC 2017 : The Semantic Web – ISWC 2017
Vol/bind10587
ForlagSpringer
Publikationsdato4 okt. 2017
Sider661-677
ISBN (Trykt)978-3-319-68287-7
ISBN (Elektronisk)978-3-319-68288-4
DOI
StatusUdgivet - 4 okt. 2017
BegivenhedThe 16th International Semantic Web Conference - Vienna, Østrig
Varighed: 21 okt. 201731 okt. 2017
Konferencens nummer: 16th
https://iswc2017.semanticweb.org/

Konference

KonferenceThe 16th International Semantic Web Conference
Nummer16th
Land/OmrådeØstrig
ByVienna
Periode21/10/201731/10/2017
Internetadresse
NavnLecture Notes in Computer Science
ISSN0302-9743

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