A Demonstration of Entity Identity Information Management Applied to Demographic Data in a Referent Tracking System

Referent Tracking (RT) is an ontology-based approach to tracking individual persons, processes, diseases, prescriptions, etc. Each such individual is assigned a unique identifier, called an Instance Unique Identifier (IUI). Assignment of duplicate IUIs to a single entity is highly problematic in practical applications, as is the assignment of one IUI to two different entities. To address these problems, we applied an entity resolution system to manage the data quality of the RT system. This paper describes a demonstration system that integrates entity resolution techniques and tools into a RT system to solve duplication problems and to track identifiers over time.