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Record linkage is the process of identifying records that refer to the sameentities from several databases. This process is challenging because commonlyno unique entity identifiers are available. Linkage therefore has to rely onpartially identifying attributes, such as names and addresses of people. Recentyears have seen the development of novel techniques for linking data fromdiverse application areas, where a major focus has been on linking complex datathat contain records about different types of entities. Advanced approachesthat exploit both the similarities between record attributes as well as therelationships between entities to identify clusters of matching records havebeen developed.  In this application paper we study the novel problem where rather thandifferent types of entities we have databases where the same entity can havedifferent roles, and where these roles change over time. We specificallydevelop novel techniques for linking historical birth, death, marriage andcensus records with the aim to reconstruct the population covered by theserecords over a period of several decades. Our experimental evaluation on realScottish data shows that even with advanced linkage techniques that considergroup, relationship, and temporal aspects it is challenging to achieve highquality linkage from such complex data.

Application of Advanced Record Linkage Techniques for Complex Population Reconstruction