Industrial Paper: Large-scale Record Linkage of Web-based Place Entities

  • Vinícius M. R. Cousseau In-Loco / UFPE
  • Luciano Barbosa UFPE


Extracting data about entities from the Web has become commonplace in the industry and academia alike. Web-based entities, however, are inherently noisy and, as such, introduce several normalization issues which must be attended to in order to maintain a clean database. Record linkage, which refers to the detection of replicated datum from possibly multiple sources, is one of the most critical of those issues. This paper presents a practical approach for solving the record linkage problem in the places data domain at an industrial scale, displaying both a model which reaches a normalized Gini coefficient of 0.92, and an architecture that supports large-scale processing.

Palavras-chave: record linkage, entity resolution, web data, data integration


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COUSSEAU, Vinícius M. R.; BARBOSA, Luciano. Industrial Paper: Large-scale Record Linkage of Web-based Place Entities. In: SIMPÓSIO BRASILEIRO DE BANCO DE DADOS (SBBD), 34. , 2019, Fortaleza. Anais [...]. Porto Alegre: Sociedade Brasileira de Computação, 2019 . p. 181-186. ISSN 2763-8979. DOI: