Methods for identifying unique entities across data sources and devices thereof

• US 9,063,991 B2
• Filed: 04/05/2013
• Issued: 06/23/2015
• Est. Priority Date: 01/25/2013
• Status: Active Grant

• Current Assignee: Wipro Limited
• Original Assignee: Wipro Limited
• Inventors: Ladak, Akbar, Shivkumar, Abhishek, Vijendran, Harish
• Primary Examiner(s): LE, HUNG D
• Application Number:
  US13/857,380
• Publication Number:
  US 20140214868A1
• Time in Patent Office: 809 Days
• Field of Search: None
• US Class Current: 1/1
• CPC Class Codes: G06F 16/25 Integrating or interfacing systems involving database management systems

Abstract

A method, non-transitory computer readable medium, and data manager computing device comprises obtaining a plurality of entity profiles from one or more sources. The obtained plurality of entities are transformed to one or more standard formats. Further, the related and unrelated entity profiles are determined based on a comparison of the transformed entity profiles against each other and the determined related and unrelated entity profiles are provided.

Claims

1. A method for identifying one or more unique entities comprising:

obtaining by a data management computing device a plurality of entity profiles from one or more sources;

transforming by the data management computing device each of the entity profiles to one or more standard formats;

determining by the data management computing device which of the entity profiles are related and unrelated based on a comparison of the transformed entity profiles against each other;

providing by the data management computing device the determination of which of the plurality of entity profiles are related and which are unrelated; and

identifying by the data management computing device the one or more unique entities based on the providing, each of the one or more unique entities including multiple related entity profiles and each of the plurality of unrelated entity profiles being considered as separate unique entities.

2. The method as set forth in claim 1 further comprising identifying by the data management computing device one or more entity profile characteristics associated with each of the plurality of entity profiles.

3. The method as set forth in claim 1 further comprising assigning by the data management computing device a first label to the entity profiles determined to be related and a second label to the entity profiles determined to be unrelated.

4. The method as set forth in claim 1 further comprising storing by the data management computing device the entity profiles determined to be related and the entity profiles determined to be unrelated upon separately clustering the entity profiles determined to be related and the entity profiles.

5. The method as set forth in claim 1 wherein the determining further comprises:

comparing by the data management computing device the entity profiles against each of the other entity profiles in standard format to determine a distance value between the compared entity profiles;

generating by the data management computing device a match value for each of the comparisons using the determined distance value; and

comparing by the data management computing device the match value and a threshold match value to determine which of the plurality of entity profiles are related and unrelated.

6. The method as set forth in claim 5 wherein the comparing the match value and the threshold match value further comprises:

determining by the data management computing device the entity profiles to be related when the match value is below the threshold match value; and

determining by the data management computing device the entity profiles to be unrelated when the match value is equal or greater than the threshold match value.

7. A non-transitory computer readable medium having stored thereon instructions for identifying one or more unique entities comprising machine executable code which when executed by at least one processor, causes the processor to perform steps comprising:

obtaining a plurality of entity profiles from one or more sources;

transforming each of the entity profiles to one or more standard formats;

determining which of the entity profiles are related and unrelated based on a comparison of the transformed entity profiles against each other;

providing the determination of which of the plurality of entity profiles are related and which are unrelated and;

identifying by the data management computing device the one or more unique entities based on the providing, each of the one or more unique entities including multiple related entity profiles and each of the plurality of unrelated entity profiles being considered as separate unique entities.

8. The medium as set forth in claim 7 further comprising identifying one or more entity profile characteristics associated with each of the plurality of entity profiles.

9. The medium as set forth in claim 7 further comprising assigning a first label to the entity profiles determined to be related and a second label to the entity profiles determined to be unrelated.

10. The medium as set forth in claim 7 further comprising storing the entity profiles determined to be related and the entity profiles determined to be unrelated upon separately clustering the entity profiles determined to be related and the entity profiles.

11. The medium as set forth in claim 7 wherein the determining further comprises:

comparing the entity profiles against each of the other entity profiles in standard format to determine a distance value between the compared entity profiles;

generating a match value for each of the comparisons using the determined distance value; and

comparing the match value and a threshold match value to determine which of the plurality of entity profiles are related and unrelated.

12. The medium as set forth in claim 11 wherein the comparing the match value and the threshold match value further comprises:

determining the entity profiles to be related when the match value is below the threshold match value; and

determining the entity profiles to be unrelated when the match value is equal or greater than the threshold match value.

13. A data management computing device comprising:

one or more processors;

a memory, wherein the memory coupled to the one or more processors which are configured to execute programmed instructions stored in the memory comprising;

obtaining a plurality of entity profiles from one or more sources;

transforming each of the entity profiles to one or more standard formats;

determining which of the entity profiles are related and unrelated based on a comparison of the transformed entity profiles against each other;

providing the determination of which of the plurality of entity profiles are related and which are unrelated; and

identifying by the data management computing device the one or more unique entities based on the providing, each of the one or more unique entities including multiple related entity profiles and each of the plurality of unrelated entity profiles being considered as separate unique entities.

14. The device as set forth in claim 13 wherein the one or more processors is further configured to execute programmed instructions stored in the memory further comprising identifying one or more entity profile characteristics associated with each of the plurality of entity profiles.

15. The device as set forth in claim 13 wherein the one or more processors is further configured to execute programmed instructions stored in the memory further comprising assigning a first label to the entity profiles determined to be related and a second label to the entity profiles determined to be unrelated.

16. The device as set forth in claim 13 wherein the one or more processors is further configured to execute programmed instructions stored in the memory further comprising storing the entity profiles determined to be related and the entity profiles determined to be unrelated upon separately clustering the entity profiles determined to be related and the entity profiles.

17. The device as set forth in claim 13 wherein the one or more processors is further configured to execute programmed instructions stored in the memory for the determining further comprises:

comparing the entity profiles against each of the other entity profiles in standard format to determine a distance value between the compared entity profiles;

generating a match value for each of the comparisons using the determined distance value; and

comparing the match value and a threshold match value to determine which of the plurality of entity profiles are related and unrelated.

18. The device as set forth in claim 13 wherein the one or more processors is further configured to execute programmed instructions stored in the memory for the comparing the match value and the threshold match value further comprises:

determining the entity profiles to be related when the match value is below the threshold match value; and

determining the entity profiles to be unrelated when the match value is equal or greater than the threshold match value.