Recent advances in logic-based entity resolution

Bienvenu, Meghyn, Cima, Gianluca, Gutiérrez-Basulto, Víctor ORCID: https://orcid.org/0000-0002-6117-5459, Ibáñez-García, Yazmín ORCID: https://orcid.org/0000-0002-1276-904X and Xiang, Zhiliang ORCID: https://orcid.org/0000-0002-0263-7289 2025. Recent advances in logic-based entity resolution. SIGMOD record 54 (3) , pp. 7-21. 10.1145/3774303.3774305

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Abstract

Entity resolution (ER) is a central task in data quality, which is concerned with identifying pairs of distinct constants or tuples that refer to the same real-world entity. Declarative approaches, based upon logical rules and constraints, are a natural choice for tackling complex, collective ER tasks involving the joint resolution of multiple entity types across multiple tables. This paper provides an overview of recent advances in logicbased entity resolution, with a particular focus on the Lace framework, first introduced at PODS'22 and subsequently extended with additional features (IJCAI'23, KR'23) and equipped with an answer set programmingbased implementation (KR'24, KR'25).

Item Type:	Article
Date Type:	Published Online
Status:	Published
Schools:	Schools > Computer Science & Informatics
Publisher:	Association for Computing Machinery; 1999
ISSN:	0163-5808
Date of First Compliant Deposit:	29 October 2025
Date of Acceptance:	28 August 2025
Last Modified:	30 Oct 2025 12:15
URI:	https://orca.cardiff.ac.uk/id/eprint/181984

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