In the recently proposed LACE framework for collective entity resolution, logical rules and constraints are used to identify pairs of entity references (e.g. author or paper ids) that denote the same entity. This identification is global: all occurrences of those entity references (possibly across multiple database tuples) are deemed equal and can be merged. By contrast, a local form of merge is often more natural when identifying pairs of data values, e.g. some occurrences of 'J. Smith' may be equated with 'Joe Smith', while others should merge with 'Jane Smith'. This motivates us to extend LACE with local merges of values and explore the computational properties of the resulting formalism.
Dettaglio pubblicazione
2023, Proceedings of the 20th International Conference on Principles of Knowledge Representation and Reasoning, KR 2023, Pages 742-746
Combining Global and Local Merges in Logic-based Entity Resolution (04b Atto di convegno in volume)
Bienvenu M., Cima G., Gutierrez-Basulto V., Ibanez-Garcia Y.
Gruppo di ricerca: Artificial Intelligence and Knowledge Representation, Gruppo di ricerca: Data Management and Semantic Technologies
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