Extending relational database functionality with data inconsistency resolution support

Resolving inconsistent data is a problem of critical practical importance. Inconsistent data arises whenever an attribute takes on multiple, inconsistent, values. This may occur when a particular entity is stored multiple times in one database, or in multiple databases that are combined. We’ve developed an architecture and methodology that extends relational databases with support for systematic data inconsistency resolution. We plan to employ a probabilistic data model and a machine learning approach.