KR2023Proceedings of the 20th International Conference on Principles of Knowledge Representation and ReasoningProceedings of the 20th International Conference on Principles of Knowledge Representation and Reasoning

Rhodes, Greece. September 2-8, 2023.

Edited by

ISSN: 2334-1033
ISBN: 978-1-956792-02-7

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Copyright © 2023 International Joint Conferences on Artificial Intelligence Organization

Combining Global and Local Merges in Logic-based Entity Resolution

  1. Meghyn Bienvenu(Univ. Bordeaux, CNRS, Bordeaux INP, LaBRI, UMR 5800)
  2. Gianluca Cima(Department of Computer, Control and Management Engineering, Sapienza University of Rome)
  3. Víctor Gutiérrez-Basulto(School of Computer Science & Informatics, Cardiff University)
  4. Yazmín Ibáñez-García(School of Computer Science & Informatics, Cardiff University)

Keywords

  1. Applications of KR in databases
  2. Knowledge representation languages
  3. Logic programming, answer set programming
  4. Computational aspects of knowledge representation

Abstract

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.