@inproceedings{5dc5ef5e6e444ef187504450d88e3318,
title = "D{\'e}finir les cat{\'e}gories de DBp{\'e}dia avec des r{\`e}gles d'associations et des redescriptions",
abstract = "DBpedia, which encode the knowledge of Wikipedia, has become a reference for the web of data. Resources can be indexed by manually-defined categories which are not accessible by a machine. In this article, we take a step towards addressing this accessibility issue by means of data mining techniques for mining association rules and redescriptions. We compare these approaches on a dataset from DBpedia and present our results.",
author = "Justine Reynaud and Esther Galbrun and Mehwish Alam and Yannick Toussaint and Amedeo Napoli",
note = "Publisher Copyright: {\textcopyright} 2018 Extraction et Gestion des Connaissances, EGC 2018. All Rights Reserved.; 18e Extraction et Gestion des Connaissances, EGC 2018 - 18th Conference on Knowledge Extraction and Management, EGC 2018 ; Conference date: 23-01-2018 Through 26-01-2018",
year = "2018",
month = jan,
day = "1",
language = "Fran{\c c}ais",
series = "Extraction et Gestion des Connaissances, EGC 2018",
publisher = "Revue des Nouvelles Technologies de l'Information (RNTI)",
pages = "335--340",
editor = "Christine Largeron and Hanane Azzag and Mustapha Lebbah",
booktitle = "Extraction et Gestion des Connaissances, EGC 2018",
}