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Methods For Identifying Unique Entities Across Data Sources

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.

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Notices, Deadlines & Correspondence

Patent Information

Application #
Filing Date
25 January 2013
Publication Number
12/2013
Publication Type
INA
Invention Field
COMPUTER SCIENCE
Status
Email
ipr@akshipassociates.com
Parent Application
Patent Number
Legal Status
Grant Date
2023-01-20
Renewal Date

Applicants

WIPRO LIMITED
Doddakannelli, Sarjapur Road, Bangalore 560035, Karnataka, India.

Inventors

1. Akbar Ladak
703/1E, Divyasree Elan, Sarjapur Road, Bangalore 560035, Karnataka, India
2. Abhishek Shivkumar
#17, 5th Cross, Amarjyothinagar, Vijayanagar, Bangalore 560040, Karnataka, India.
3. Harish Vijendran
House #6, Site #8, 5th Cross, NGR Layout, Roopena Agrahara, Bangalore 560068, Karnataka, India.

Specification

CLIAMS:We claim:
1. A method for identifying 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; and
providing by the data management computing device the determination of which of the plurality of entity profiles are related and which are unrelated.

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

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

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.

Dated this 25th day of January, 2012
Sravan Kumar Gampa
K&S Partners
Agent for the Applicant
,TagSPECI:TECHNICAL FIELD
This technology generally relates to identifying data, more particularly, to methods for identifying unique entities across data sources and devices thereof.

Documents

Application Documents

# Name Date
1 345-CHE-2013 FORM-9 25-01-2013.pdf 2013-01-25
2 IP22702-Spec.pdf 2013-02-06
3 IP22702-Fig.pdf 2013-02-06
4 FORM 5.pdf 2013-02-06
5 FORM 3.pdf 2013-02-06
6 345-CHE-2013 FORM-18 17-04-2013.pdf 2013-04-17
7 345-CHE-2013 CORRESPONDENCE OTHERS 19-04-2013.pdf 2013-04-19
8 345-CHE-2013 FORM-3 16-05-2013.pdf 2013-05-16
9 345-CHE-2013 CORRESPONDENCE OTHERS 16-05-2013.pdf 2013-05-16
10 345-CHE-2013-FER.pdf 2019-03-15
11 345-CHE-2013-Information under section 8(2) (MANDATORY) [16-09-2019(online)].pdf 2019-09-16
12 345-CHE-2013-FORM 3 [16-09-2019(online)].pdf 2019-09-16
13 345-CHE-2013-FER_SER_REPLY [16-09-2019(online)].pdf 2019-09-16
14 345-CHE-2013-US(14)-HearingNotice-(HearingDate-22-12-2022).pdf 2022-12-01
15 345-CHE-2013-POA [06-12-2022(online)].pdf 2022-12-06
16 345-CHE-2013-FORM 13 [06-12-2022(online)].pdf 2022-12-06
17 345-CHE-2013-Correspondence to notify the Controller [06-12-2022(online)].pdf 2022-12-06
18 345-CHE-2013-AMENDED DOCUMENTS [06-12-2022(online)].pdf 2022-12-06
19 345-CHE-2013-Written submissions and relevant documents [06-01-2023(online)].pdf 2023-01-06
20 345-CHE-2013-PETITION UNDER RULE 137 [06-01-2023(online)].pdf 2023-01-06
21 345-CHE-2013-FORM-26 [06-01-2023(online)].pdf 2023-01-06
22 345-CHE-2013-PatentCertificate20-01-2023.pdf 2023-01-20
23 345-CHE-2013-IntimationOfGrant20-01-2023.pdf 2023-01-20

Search Strategy

1 345che2013_12-03-2019.pdf

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