Recent Advances in Logic-Based Entity Resolution

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).