US 2026/0310686 A1 · ENTITY RESOLUTION IN GENEALOGICAL DATABASES

Abstract

Systems, methods, and computer-program products for entity resolution are disclosed. Entity resolution embodiments include receiving tree data from each of a pair of entities, extracting and/or aggregating feature vectors or metric functions therefrom, and generating similarity scores between the pair of entities. The similarity scores may be weighted using machine-learned weights. The weighted similarity scores are used to generate a combinatorial probability score accounting for combined likelihoods of field values between the pair of entities. A classification of the pair of entities is performed based on the combinatorial probability score, with a genealogical database modified based on the classification.

Claims20

Dependent claims

A computer-implemented method comprising:

identifying an entity pair comprising a first entity and a second entity within a cluster database of a genealogical-data system;
determining a first data field for the first entity and a second data field for the second entity within the entity pair;
generating, based on comparing the first data field and the second data field, an entity-resolution classification for the entity pair utilizing a hybrid machine-learned rule-based classification system within the genealogical-data system;
and
resolving the first entity and the second entity of the entity pair into a single cluster within the cluster database based on the entity-resolution classification.

2 more elements

A non-transitory computer readable medium storing instructions which, when executed by at least one processor, cause the at least one processor to:

identify an entity pair comprising a first entity and a second entity within a cluster database of a genealogical-data system;
determine a first data field for the first entity and a second data field for the second entity within the entity pair;
generate, based on comparing the first data field and the second data field, an entity-resolution classification for the entity pair utilizing a hybrid machine-learned rule-based classification system within the genealogical-data system;
and
resolve the first entity and the second entity of the entity pair into a single cluster within the cluster database based on the entity-resolution classification.

2 more elements

A system comprising:

at least one memory device;
and
at least one processor coupled to the at least one memory device, the at least one processor configured to:
identify an entity pair comprising a first entity and a second entity within a cluster database of a genealogical-data system;
determine a first data field for the first entity and a second data field for the second entity within the entity pair;
generate, based on comparing the first data field and the second data field, an entity-resolution classification for the entity pair utilizing a hybrid machine-learned rule-based classification system within the genealogical-data system;
and
resolve the first entity and the second entity of the entity pair into a single cluster within the cluster database based on the entity-resolution classification.

5 more elements

Dependencies are inferred from the claim text.

Entity resolution in genealogical databases

Life of this patent

Entity resolution in genealogical databases

Life of this patent

Abstract

Claims20