Entity resolution: theory, practice & open challenges
Article Status
Published
Authors/contributors
- Getoor, Lise (Author)
- Machanavajjhala, Ashwin (Author)
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
Date
08/2012
Volume
5
Issue
12
Pages
2018-2019
Journal Abbr
Proc. VLDB Endow.
Citation Key
getoor2012
Accessed
22/01/2024, 19:02
ISSN
2150-8097
Short Title
Entity resolution
Language
en
Library Catalogue
DOI.org (Crossref)
Extra
Read_Status: New
Read_Status_Date: 2026-01-26T11:33:25.498Z
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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