FairER: Entity Resolution With Fairness Constraints
Article Status
Published
Authors/contributors
- Efthymiou, Vasilis (Author)
- Stefanidis, Kostas (Author)
- Pitoura, Evaggelia (Author)
- Christophides, Vassilis (Author)
Title
FairER: Entity Resolution With Fairness Constraints
Proceedings Title
Proceedings of the 30th ACM International Conference on Information & Knowledge Management
Conference Name
CIKM '21: The 30th ACM International Conference on Information and Knowledge Management
Publisher
ACM
Place
Virtual Event Queensland Australia
Date
2021-10-26
Pages
3004-3008
ISBN
978-1-4503-8446-9
Citation Key
efthymiou2021
Accessed
22/01/2024, 19:02
Short Title
FairER
Language
en
Library Catalogue
DOI.org (Crossref)
Extra
<AI Smry>: FairER, a greedy algorithm for solving the data bias in entity resolution (ER) tasks aiming to discover and unify records/descriptions from different data sources that refer to the same real-world entity is introduced.
Read_Status: New
Read_Status_Date: 2026-01-26T11:33:20.825Z
Citation
Efthymiou, V., Stefanidis, K., Pitoura, E., & Christophides, V. (2021). FairER: Entity Resolution With Fairness Constraints. Proceedings of the 30th ACM International Conference on Information & Knowledge Management, 3004–3008. https://doi.org/10.1145/3459637.3482105
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