On the use of semantic blocking techniques for data cleansing and integration

Jordi Nin, Victor Muntés-Mulero, Norbert Martínez-Bazan, Josep L. Larriba-Pey

Research output: Book chapterConference contributionpeer-review

19 Citations (Scopus)

Abstract

Record Linkage (RL) is an important component of data cleansing and integration. For years, many efforts have focused on improving the performance of the RL process, either by reducing the number of record comparisons or by reducing the number of attribute comparisons, which reduces the computational time, but very often decreases the quality of the results. However, the real bottleneck of RL is the post-process, where the results have to be reviewed by experts that decide which pairs or groups of records are real links and which are false hits. In this paper, we show that exploiting the relationships (e.g. foreign key) established between one or more data sources, makes it possible to find a new sort of semantic blocking method that improves the number of hits and reduces the amount of review effort.

Original languageEnglish
Title of host publication11th International Database Engineering and Applications Symposium Proceedings, IDEAS
Pages190-198
Number of pages9
DOIs
Publication statusPublished - 2007
Externally publishedYes
Event11th International Database Engineering and Applications Symposium - IDEAS'2007 - Banff, AB, Canada
Duration: 6 Sept 20078 Sept 2007

Publication series

NameProceedings of the International Database Engineering and Applications Symposium, IDEAS
ISSN (Print)1098-8068

Conference

Conference11th International Database Engineering and Applications Symposium - IDEAS'2007
Country/TerritoryCanada
CityBanff, AB
Period6/09/078/09/07

Keywords

  • Blocking algorithms
  • Data cleansing
  • Data integration
  • Record linkage
  • Semantic information

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