Record linkage, in a genealogical context, is the process of identifying individuals from multiple sources which refer to the same real-world entity. Current solutions focus on the individuals in question and on complex rules developed by human experts. Genealogical databases are highly-structured with relationships existing between the individuals and other instances. These relationships can be utilized and human involvement greatly minimized by using a filtered structured neural network. These neural networks, using traditional back-propagation methods, are biased in a way to make the network human readable. The results show an increase in precision and recall when pedigree data is available and used.
College and Department
Physical and Mathematical Sciences; Computer Science
BYU ScholarsArchive Citation
Pixton, Burdette N., "Improving Record Linkage Through Pedigrees" (2006). All Theses and Dissertations. 482.
record linkage, computer science, neural network