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 logic-based 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 programming-based implementation (KR’24, KR’25).