Computer Science > Databases
[Submitted on 15 May 2019 (v1), last revised 21 Aug 2020 (this version, v4)]
Title:A Survey of Blocking and Filtering Techniques for Entity Resolution
View PDFAbstract:Efficiency techniques are an integral part of Entity Resolution, since its infancy. In this survey, we organized the bulk of works in the field into Blocking, Filtering and hybrid techniques, facilitating their understanding and use. We also provided an in-dept coverage of each category, further classifying the corresponding works into novel sub-categories. Lately, the efficiency techniques have received more attention, due to the rise of Big Data. This includes large volumes of semi-structured data, which pose challenges not only to the scalability of efficiency techniques, but also to their core assumptions: the requirement of Blocking for schema knowledge and of Filtering for high similarity thresholds. The former led to the introduction of schema-agnostic Blocking in conjunction with Block Processing techniques, while the latter led to more relaxed criteria of similarity. Our survey covers these new fields in detail, putting in context all relevant works.
Submission history
From: George Papadakis [view email][v1] Wed, 15 May 2019 13:28:56 UTC (4,303 KB)
[v2] Tue, 7 Jan 2020 09:53:29 UTC (515 KB)
[v3] Mon, 23 Mar 2020 09:43:52 UTC (516 KB)
[v4] Fri, 21 Aug 2020 15:40:39 UTC (827 KB)
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