@inproceedings{7a733deaadd7428cbc6e261347630973,
title = "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.",
author = "Danai Symeonidou and Luis Gal{\'a}rraga and Nathalie Pernelle and Fatiha Sa{\"i}s and Fabian Suchanek",
note = "Publisher Copyright: {\textcopyright} Springer International Publishing AG 2017.; 16th International Semantic Web Conference, ISWC 2017 ; Conference date: 21-10-2017 Through 25-10-2017",
year = "2017",
month = jan,
day = "1",
doi = "10.1007/978-3-319-68288-4\_39",
language = "English",
isbn = "9783319682877",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "661--677",
editor = "Philippe Cudre-Mauroux and Christoph Lange and Claudia d{\textquoteright}Amato and Miriam Fernandez and Jeff Heflin and Freddy Lecue and Valentina Tamma and Juan Sequeda",
booktitle = "The Semantic Web – ISWC 2017 - 16th International Semantic Web Conference, Proceedings",
}