VICKEY: Mining conditional keys on knowledge bases

  • Danai Symeonidou
  • , Luis Galárraga
  • , Nathalie Pernelle
  • , Fatiha Saïs
  • , Fabian Suchanek

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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.

Original languageEnglish
Title of host publicationThe Semantic Web – ISWC 2017 - 16th International Semantic Web Conference, Proceedings
EditorsPhilippe Cudre-Mauroux, Christoph Lange, Claudia d’Amato, Miriam Fernandez, Jeff Heflin, Freddy Lecue, Valentina Tamma, Juan Sequeda
PublisherSpringer Verlag
Pages661-677
Number of pages17
ISBN (Print)9783319682877
DOIs
Publication statusPublished - 1 Jan 2017
Event16th International Semantic Web Conference, ISWC 2017 - Vienna, Austria
Duration: 21 Oct 201725 Oct 2017

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume10587 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference16th International Semantic Web Conference, ISWC 2017
Country/TerritoryAustria
CityVienna
Period21/10/1725/10/17

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