Online entity resolution using an Oracle
Open Access
- 1 January 2016
- journal article
- Published by Association for Computing Machinery (ACM) in Proceedings of the VLDB Endowment
- Vol. 9 (5) , 384-395
Abstract
Entity resolution (ER) is the task of identifying all records in a database that refer to the same underlying entity. This is an expensive task, and can take a significant amount of money and time; the end-user may want to take decisions during the process, rather than waiting for the task to be completed. We formalize an online version of the entity resolution task, and use an oracle which correctly labels matching and non-matching pairs through queries. In this setting, we design algorithms that seek to maximize progressive recall, and develop a novel analysis framework for prior proposals on entity resolution with an oracle, beyond their worst case guarantees. Finally, we provide both theoretical and experimental analysis of the proposed algorithms.Keywords
This publication has 13 references indexed in Scilit:
- Crowdsourcing algorithms for entity resolutionProceedings of the VLDB Endowment, 2014
- Progressive approach to relational entity resolutionProceedings of the VLDB Endowment, 2014
- Corleone2014
- Leveraging transitive relations for crowdsourced joins2013
- Aggregating crowdsourced binary ratings2013
- Question selection for crowd entity resolutionProceedings of the VLDB Endowment, 2013
- Entity resolutionProceedings of the VLDB Endowment, 2012
- CrowdERProceedings of the VLDB Endowment, 2012
- ZenCrowd2012
- Who moderates the moderators?2011