Entity resolution: theory, practice & open challenges

Article Status
Published
Authors/contributors
Title
Entity resolution: theory, practice & open challenges
Abstract
This tutorial brings together perspectives on ER from a variety of fields, including databases, machine learning, natural language processing and information retrieval, to provide, in one setting, a survey of a large body of work. We discuss both the practical aspects and theoretical underpinnings of ER. We describe existing solutions, current challenges, and open research problems.
Publication
Proceedings of the VLDB Endowment
Volume
5
Issue
12
Pages
2018-2019
Date
08/2012
Journal Abbr
Proc. VLDB Endow.
Language
en
ISSN
2150-8097
Short Title
Entity resolution
Accessed
22/01/2024, 19:02
Library Catalogue
DOI.org (Crossref)
Citation
Getoor, L., & Machanavajjhala, A. (2012). Entity resolution: theory, practice & open challenges. Proceedings of the VLDB Endowment, 5(12), 2018–2019. https://doi.org/10.14778/2367502.2367564
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