CLIAMS:We claim:
1. A method for identifying relationship between entities, the method comprising:
obtaining, by a data management computing device, heterogeneous data associated with two or more primary entities from one or more data sources;
identifying, by the data management computing device, only relevant data associated with the two or more primary entities from the obtained heterogenous data;
determining, by the data management computing device, a masked relationship between the two or more primary entities based on the identified relevant data and a generated entity relationship mapping; and
identifying and providing, by the data management computing device, a related context for the determined masked relationship between the two or more primary entities.

2. The method as set forth in claim 1 further comprising:
obtaining, by the data management computing device, one or more attributes associated with the two or more primary entities;
obtaining, by the data management computing device, additional information associated with the two or more primary entities based on the obtained one or more attributes;
identifying, by the data management computing device, the only relevant data associated with the two or more primary entities from the obtained heterogenous data and the obtained additional information when the obtained heterogenous data matches with each of the obtained one or more attributes associated with the two or more primary entities; and
assigning, by the data management computing device, a weighted value for identified relevant data associated with the two or more primary entities based on a type of data source, a reliability factor of the one or more data sources, a relevance score of the one or more data sources to a domain and a time state of the one or more data sources.

3. The method as set forth in claim 2 further comprising:
identifying, by the data management computing device, one or more additional entities from the only relevant data associated with the two or more primary entities; and
identifying, by the data management computing device, an entity relationship between the identified one or more additional entities and the two or more primary entities.
4. The method as set forth in claim 3 further comprising:
assigning, by the data management computing device, a correlation score by comparing the identified one or more additional entities and the two or more primary entities; and
assigning, by the data management computing device, a rank for the identified entity relationship based on the assigned correlation score and the assigned weighted value.

5. The method as set forth in claim 4 further comprising generating, by the data management computing device, the entity relationship mapping between the two or more primary entities and the identified one or more additional entities based on the assigned rank.

6. The method as set forth in claim 1 wherein the identifying and providing further comprises identifying, by the data management computing device, the related context in the determined relationship between the two or more entities based on one or more business requirements.

7. A data management computing device comprising:
a processor;
a memory, wherein the memory coupled to the processor which are configured to execute programmed instructions stored in the memory comprising:
obtaining heterogeneous data associated with two or more primary entities from one or more data sources;
identifying only relevant data associated with the two or more primary entities from the obtained heterogenous data;
determining a masked relationship between the two or more primary entities based on the identified relevant data and a generated entity relationship mapping; and identifying and providing a related context for the determined masked relationship between the two or more primary entities.

8. The device as set forth in claim 7 wherein the processor is further configured to execute programmed instructions stored in the memory further comprising:
obtaining one or more attributes associated with the two or more primary entities;
obtaining additional information associated with the two or more primary entities based on the obtained one or more attributes;
identifying only relevant data associated with the two or more primary entities from the obtained heterogenous data and the obtained additional information when the obtained heterogenous data matches with each of the obtained one or more attributes associated with the two or more primary entities; and
assigning a weighted value for identified relevant data associated with the two or more primary entities based on a type of data source, a reliability factor of the one or more data sources, a relevance score of the one or more data sources to a domain and a time state of the one or more data sources.

9. The device as set forth in claim 8 wherein the processor is further configured to execute programmed instructions stored in the memory further comprising:
identifying one or more additional entities from the identified the only relevant data associated with the two or more primary entities; and
identifying an entity relationship between the identified one or more additional entities and the two or more primary entities.

10. The device as set forth in claim 9 wherein the processor is further configured to execute programmed instructions stored in the memory further comprising:
assigning a correlation score by comparing the identified one or more additional entities and the two or more primary entities; and
assigning a rank for the identified entity relationship based on the assigned correlation score and the assigned weighted value.

11. The device as set forth in claim 10 wherein the processor is further configured to execute programmed instructions stored in the memory further comprising generating the entity relationship mapping between the two or more primary entities and the identified one or more additional entities based on the assigned rank.

12. The device as set forth in claim 7 wherein the processor is further configured to execute programmed instructions stored in the memory for the identifying and providing further comprises identifying, by the data management computing device, the related context in the determined relationship between the two or more entities based on one or more business requirements.

13. A non-transitory computer readable medium having stored thereon instructions for identifying relationship between entities comprising machine executable code which when executed by at least one processor, causes the processor to perform steps comprising:
obtaining heterogeneous data associated with two or more primary entities from one or more data sources;
identifying only relevant data associated with the two or more primary entities from the obtained heterogenous data;
determining a masked relationship between the two or more primary entities based on the identified relevant data and a generated entity relationship mapping; and identifying and providing a related context for the determined masked relationship between the two or more primary entities.

14. The medium as set forth in claim 13 further comprising:
obtaining one or more attributes associated with the two or more primary entities;
obtaining additional information associated with the two or more primary entities based on the obtained one or more attributes;
identifying only relevant data associated with the two or more primary entities from the obtained heterogenous data and the obtained additional information when the obtained heterogenous data matches with each of the obtained one or more attributes associated with the two or more primary entities; and
assigning a weighted value for identified relevant data associated with the two or more primary entities based on a type of data source, a reliability factor of the one or more data sources, a relevance score of the one or more data sources to a domain and a time state of the one or more data sources.

15. The medium as set forth in claim 14 further comprising:
identifying one or more additional entities from the identified the only relevant data associated with the two or more primary entities; and
identifying an entity relationship between the identified one or more additional entities and the two or more primary entities.

16. The medium as set forth in claim 15 further comprising:
assigning a correlation score by comparing the identified one or more additional entities and the two or more primary entities; and
assigning a rank for the identified entity relationship based on the assigned correlation score and the assigned weighted value.

17. The medium as set forth in claim 16 further comprising generating the entity relationship mapping between the two or more primary entities and the identified one or more additional entities based on the assigned rank.

18. The medium as set forth in claim 13 wherein the identifying and providing further comprises identifying, by the data management computing device, the related context in the determined relationship between the two or more entities based on one or more business requirements.

Dated this 10th day of March, 2015

Swetha S.N
Of K&S Partners
Agent for the Applicant
,TagSPECI:TECHNICAL FIELD
This technology generally relates to data management, more particularly, to methods for identifying related context between entities and devices thereof.