Cognitive profiles

1. A computer-implementable method for performing cognitive computing operations comprising:

receiving streams of data from a plurality of data sources;

processing the streams of data from the plurality of data sources, the processing the streams of data from the plurality of data sources performing data enriching for incorporation into a cognitive graph, the processing being performed by a cognitive inference and learning system, the cognitive inference and learning system executing on a hardware processor of an information processing system and interacting with the plurality of data sources, the cognitive inference and learning system comprising a cognitive platform, the cognitive platform comprising a cognitive engine, the cognitive engine processing the streams of data from the plurality of data sources;

incorporating enriched data resulting from the performing of the data enriching into the cognitive graph as nodes within the cognitive graph;

defining a cognitive persona within the cognitive graph, the cognitive persona corresponding to an archetype user model, the defining comprising associating attributes with respective nodes of a set of nodes in the cognitive graph;

associating a user with the cognitive persona;

defining a cognitive profile within the cognitive graph, the cognitive profile comprising an instance of the cognitive persona that references personal data associated with the user, the personal data associated with the user being stored as at least one node within the cognitive graph;

associating the user with the cognitive profile; and,

performing a cognitive computing operation based upon the cognitive profile associated with the user.

2. The method of claim 1 , wherein:

the personal data comprises data associated with an interaction of the user with the cognitive graph.

3. The method of claim 1 , wherein:

the personal data is distributed among the plurality of data sources.

4. The method of claim 3 , further comprising:

aggregating the personal data distributed among the plurality of data sources to define the cognitive profile.

5. The method of claim 1 , wherein:

the cognitive profile represents a plurality of attributes associated with the user;

and each of the plurality of attributes corresponds to a node within the set of nodes in the cognitive graph.

6. The method of claim 1 , further comprising:

receiving user provided personal information; and,

associating the user with the cognitive profile based upon user provided personal information.

7. A system comprising:

a processor;

a data bus coupled to the processor; and

a non-transitory, computer-readable storage medium embodying computer program code, the non-transitory, computer-readable storage medium being coupled to the data bus, the computer program code interacting with a plurality of computer operations and comprising instructions executable by the processor and configured for:

receiving streams of data from a plurality of data sources;

processing the streams of data from the plurality of data sources, the processing the streams of data from the plurality of data sources performing data enriching for incorporation into a cognitive graph, the processing being performed by a cognitive inference and learning system, the cognitive inference and learning system executing on a hardware processor of an information processing system and interacting with the plurality of data sources, the cognitive inference and learning system comprising a cognitive platform, the cognitive platform comprising a cognitive engine, the cognitive engine processing the streams of data from the plurality of data sources;

incorporating enriched data resulting from the performing of the data enriching into the cognitive graph as nodes within the cognitive graph;

defining a cognitive persona within the cognitive graph, the cognitive persona corresponding to an archetype user model, the defining comprising associating attributes with respective nodes of a set of nodes in the cognitive graph;

associating a user with the cognitive persona;

defining a cognitive profile within the cognitive graph, the cognitive profile comprising an instance of the cognitive persona that references personal data associated with the user, the personal data associated with the user being stored as at least one node within the cognitive graph;

associating the user with the cognitive profile; and,

performing a cognitive computing operation based upon the cognitive profile associated with the user.

8. The system of claim 7 , wherein:

the personal data comprises data associated with an interaction of the user with the cognitive graph.

9. The system of claim 7 , wherein:

the personal data is distributed among the plurality of data sources.

10. The system of claim 9 , wherein the instructions executable by the processor further comprise instructions for:

aggregating the personal data distributed among the plurality of data sources to define the cognitive profile.

11. The system of claim 7 , wherein:

the cognitive profile represents a plurality of attributes associated with the user; and

each of the plurality of attributes corresponds to a node within the set of nodes in the cognitive graph.

12. The system of claim 7 , wherein the instructions executable by the processor further comprise instructions for:

receiving user provided personal information; and,

associating the user with the cognitive profile based upon user provided personal information.

13. A non-transitory, computer-readable storage medium embodying computer program code, the computer program code comprising computer executable instructions configured for:

receiving streams of data from a plurality of data sources;

processing the streams of data from the plurality of data sources, the processing the streams of data from the plurality of data sources performing data enriching for incorporation into a cognitive graph, the processing being performed by a cognitive inference and learning system, the cognitive inference and learning system executing on a hardware processor of an information processing system and interacting with the plurality of data sources, the cognitive inference and learning system comprising a cognitive platform, the cognitive platform comprising a cognitive engine, the cognitive engine processing the streams of data from the plurality of data sources;

incorporating enriched data resulting from the performing of the data enriching into the cognitive graph as nodes within the cognitive graph;

defining a cognitive persona within the cognitive graph, the cognitive persona corresponding to an archetype user model, the defining comprising associating attributes with respective nodes of a set of nodes in the cognitive graph;

associating a user with the cognitive persona;

defining a cognitive profile within the cognitive graph, the cognitive profile comprising an instance of the cognitive persona that references personal data associated with the user, the personal data associated with the user being stored as at least one node within the cognitive graph;

associating the user with the cognitive profile; and,

performing a cognitive computing operation based upon the cognitive profile associated with the user.

14. The non-transitory, computer-readable storage medium of claim 13 , wherein:

the personal data comprises data associated with an interaction of the user with the cognitive graph.

15. The non-transitory, computer-readable storage medium of claim 13 , wherein:

the personal data is distributed among the plurality of data sources.

16. The non-transitory, computer-readable storage medium of claim 15 , wherein the instructions executable by the processor further comprise instructions for:

aggregating the personal data distributed among the plurality of data sources to define the cognitive profile.

17. The non-transitory, computer-readable storage medium of claim 13 , wherein:

the cognitive profile represents a plurality of attributes associated with the user; and each of the plurality of attributes corresponds to a node within the set of nodes in the cognitive graph.

18. The non-transitory, computer-readable storage medium of claim 13 , wherein the instructions executable by the processor further comprise instructions for:

receiving user provided personal information; and,

associating the user with the cognitive profile based upon user provided personal information.

19. The non-transitory, computer-readable storage medium of claim 13 , wherein the computer executable instructions are deployable to a client system from a server system at a remote location.

20. The non-transitory, computer-readable storage medium of claim 13 , wherein the computer executable instructions are provided by a service provider to a user on an on-demand basis.