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  • 1. Record linkage techniques to identify 2021 Canadian Census dwellings in the new Statistical Building Register Archived
    Articles and reports: 11-522-X202200100020
    Description: The reconciliation of 2021 census dwellings with the new Statistical Building Register (SBgR) presented linkage challenges. The Census of Population collected information from various dwelling types. For a large proportion of the population, mailing addresses were at the centre: they were used for reaching out to people and collected as contact info. In parallel, the register environment has been evolving. The agency is transitioning from the Address Register (AR) to the SBgR holding both mailing and location addresses, while also covering non-residential buildings. The reconciliation was conducted using a combination of systems, notably the new Register Matching Engine (RME) for difficult cases. The RME holds an interesting range of sophisticated string comparators. A deterministic linkage approach was used, while incorporating some data knowledge like the entropy. Through metadata, the matching expert could also reduce the amounts of false positives and false negatives.
    Release date: 2024-03-25
  • 2. Useful functionalities for record linkage Archived
    Articles and reports: 11-522-X201300014270
    Description:

    There is a wide range of character-string comparators in the record-linkage field. Comparison problems arise when factors affect the composition of the strings (for example, the use of a nickname instead of a given name, and typographical errors). In these cases, more sophisticated comparators must be used. Such tools help to reduce the number of potentially missed links. Unfortunately, some of the gains may be false links. In order to improve the matches, three sophisticated string comparators were developed; they are described in this paper. They are the Lachance comparator and its derivatives, the multi-word comparator and the multi-type comparator. This set of tools is currently available in a deterministic record-linkage prototype known as MixMatch. This application can use prior knowledge to reduce the volume of false links generated during matching. This paper also proposes a link-strength indicator.

    Release date: 2014-10-31
Articles and reports (2)

Articles and reports (2) ((2 results))

  • 1. Record linkage techniques to identify 2021 Canadian Census dwellings in the new Statistical Building Register Archived
    Articles and reports: 11-522-X202200100020
    Description: The reconciliation of 2021 census dwellings with the new Statistical Building Register (SBgR) presented linkage challenges. The Census of Population collected information from various dwelling types. For a large proportion of the population, mailing addresses were at the centre: they were used for reaching out to people and collected as contact info. In parallel, the register environment has been evolving. The agency is transitioning from the Address Register (AR) to the SBgR holding both mailing and location addresses, while also covering non-residential buildings. The reconciliation was conducted using a combination of systems, notably the new Register Matching Engine (RME) for difficult cases. The RME holds an interesting range of sophisticated string comparators. A deterministic linkage approach was used, while incorporating some data knowledge like the entropy. Through metadata, the matching expert could also reduce the amounts of false positives and false negatives.
    Release date: 2024-03-25
  • 2. Useful functionalities for record linkage Archived
    Articles and reports: 11-522-X201300014270
    Description:

    There is a wide range of character-string comparators in the record-linkage field. Comparison problems arise when factors affect the composition of the strings (for example, the use of a nickname instead of a given name, and typographical errors). In these cases, more sophisticated comparators must be used. Such tools help to reduce the number of potentially missed links. Unfortunately, some of the gains may be false links. In order to improve the matches, three sophisticated string comparators were developed; they are described in this paper. They are the Lachance comparator and its derivatives, the multi-word comparator and the multi-type comparator. This set of tools is currently available in a deterministic record-linkage prototype known as MixMatch. This application can use prior knowledge to reduce the volume of false links generated during matching. This paper also proposes a link-strength indicator.

    Release date: 2014-10-31

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