Household Discovery with Group Membership Graphs
摘要
Entity Resolution (ER) determines whether two entities references refer to the same or different objects. Most work in this area has focused on pairwise matching. However, identity attributes such as address and age change over time in population data. In many cases, these changes can cause pairwise matching to fail. This paper describes how some references can be correctly linked in data with inferred household memberships. The technique comprises a household discovery process followed by household blocking and matching. In testing with synthetic data, the references are clustered using standard pairwise matching, we have used knowledge graphs.