Genealogical entity resolution system and method

A non-transitory computer readable storage media comprising instructions that, when executed by one or more processors, cause the one or more processors to perform operations for genealogical entity resolution comprising:

• obtaining, from a genealogical tree database, a first tree person from a first genealogical tree and a second tree person from a second genealogical tree, the first genealogical tree and the second genealogical tree each comprising a plurality of interconnected tree persons corresponding to individuals that are related to each other;
• identifying a familial category such that the familial category of the first genealogical tree comprises at least one tree person and the familial category of the second genealogical tree comprises a plurality of tree persons;
• extracting a first feature for the at least one tree person from the first genealogical tree and a corresponding first feature for each of the plurality of tree persons from the second genealogical tree;
• generating a plurality of similarity scores, each similarity score based on a similarity of the first feature for the at least one tree person from the first genealogical tree to the corresponding first feature for respective tree persons of the plurality of tree persons from the second genealogical tree;
• and
• identifying a representative pairing of tree persons within the familial category of the first and second genealogical trees, the representative pairing having a maximum similarity score of the plurality of similarity scores.

A genealogical entity-resolution system comprising:

• one or more processors;
• one or more computer readable storage media comprising instructions that, when executed by the one or more processors, cause the one or more processor to perform operations including:
• obtaining, from a genealogical tree database, a first tree person from a first genealogical tree and a second tree person from a second genealogical tree, the first genealogical tree and the second genealogical tree each comprising a plurality of interconnected tree persons corresponding to individuals that are related to each other;
• identifying a familial category such that the familial category of the first genealogical tree comprises at least one tree person and the familial category of the second genealogical tree comprises a plurality of tree persons;
• extracting a first feature for the at least one tree person from the first genealogical tree and a corresponding first feature for each of the plurality of tree persons from the second genealogical tree;
• generating a plurality of similarity scores, each similarity score based on a similarity of the first feature for the at least one tree person from the first genealogical tree to the corresponding first feature for respective tree persons of the plurality of tree persons from the second genealogical tree;
• and
• identifying a representative pairing of tree persons within the familial category of the first and second genealogical trees, the representative pairing having a maximum similarity score of the plurality of similarity scores.