US 2019/0095174 A1 · IDENTITY RESOLUTION IN BIG, NOISY, AND/OR UNSTRUCTURED DATA

Abstract

In an environment containing big data, noisy data, and/or unstructured data, it is desirable to identify an entity referenced by input data. The entity can be identified by generating records corresponding to characteristics of the entity based on the input data. These records can be merged when it is determined that more than one record corresponds to the same entity. By doing so it is possible to more easily identify and classify information related to an entity, though such information may have been obtained in a manner that might otherwise be deemed unstructured or noisy. The method can be applied across large sets of data (“big data”) to obtain meaning from data that may otherwise be unclassifiable to a human observer.

Claims20

Dependent claims

A method of managing data relating to an entity, the method comprising:

identifying, by at least one device comprising a processor, an entity referenced by input data;
generating, by the at least one device, a first record corresponding to the entity in a data structure;
populating, by the at least one device, the first record with one or more characteristics of the entity given in the input data;
comparing, by the at least one device, characteristics populated in the first record with respective characteristics populated in a plurality of respective other records of the data structure;
and
merging, by the at least one device, the first record with a second record in the data structure in response to a result of the comparing, resulting in a merged record.

3 more elements

A system, comprising:

a database comprising a plurality of records corresponding to respective entities, wherein respective ones of the records are populated with characteristics of a respectively corresponding entity;
at least one processor;
and
a memory that stores processor-executable instructions, wherein the instructions, when executed by the at least one processor, cause the at least one processor to perform operations comprising:
identifying a first entity referenced by an input text source;
generating a first record in the database corresponding to the first entity;
populating the first record with one or more characteristics of the entity given in the input text source;
comparing characteristics populated in the first record with respective characteristics populated in respective other records of the database;
and
merging the first record with a second record in the data structure in response to a result of the comparing, resulting in a merged record.

7 more elements

Dependencies are inferred from the claim text.

Identity resolution in big, noisy, and/or unstructured data

Life of this patent

Identity resolution in big, noisy, and/or unstructured data

Life of this patent

Abstract

Claims20