Artificial intelligence-based property data linking system

Abstract

A data linking system is described herein that links data records corresponding to a particular real estate property even if there are inconsistencies in the data records, the physical presence of the real estate property has changed over time, and/or the data records use different terminology. In some cases the data records are matched using a trained machine learning model. The data linking system can optionally generate a visualization of the data record linkage via interactive user interfaces. By linking data records despite the issues described above, the data linking system reduces the number of navigational steps a user performs to obtain data associated with a property and/or reduces data processing times. The disclosed system may be used to generate and maintain a comprehensive database of substantially all properties within a jurisdiction, in which a unique identifier is assigned to each property.

What is claimed is: 
     
         1 . A system for linking data records, the system comprising:
 a data store comprising a plurality of data records; and   a computing system comprising one or more computing devices, wherein the computing system is configured with specific computer-executable instructions to at least:
 obtain the plurality of data records; 
 determine that a first data record and a second data record in the plurality of data records are duplicative; 
 discard the second data record; 
 obtain master record data from a master record data store, wherein the master record data comprises property attribute values for a plurality of real estate properties and unique identifiers associated with individual real estate properties in the plurality of real estate properties; 
 analyze the first record data and the master record data using a trained machine learning model trained with one or more labeled data record pairs; 
 determine that the first data record corresponds to a first unique identifier of a first real estate property in the plurality of real estate properties based on the analysis; 
 identify master record data in the master record data store corresponding to the first real estate property based on the first unique identifier; 
 determine that a date associated with the first data record is newer than a date associated with the master record data in the master record data stores that corresponds to the first real estate property; and 
 update the master record data in the master record data store that corresponds to the first real estate property using the first data record.