IP Library Patent Application 17329813
Patent Application
App. No. 17/329,813

Cognitive Profiles

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Quick Facts
Patent No.
US None
App. No.
17/329,813
Abstract

A method, system and computer-usable medium 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; defining a cognitive persona within the cognitive graph, the cognitive persona corresponding to an archetype user model, the cognitive persona comprising 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; associating the user with the cognitive profile; and, performing a cognitive computing operation based upon the cognitive profile associated with the user.

Claims (63)

1 - 6 . (canceled)

7 . 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 profile, the cognitive profile referencing personal data associated with a 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 method of claim 7 , wherein:

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

9 . The method of claim 7 , wherein:

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

10 . The method of claim 9 , further comprising:

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

11 . The method 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 method of claim 7 , further comprising:

receiving user provided personal information; and,

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

13 . 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 profile, the cognitive profile referencing personal data associated with a 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 system of claim 13 , wherein:

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

15 . The system of claim 13 , wherein:

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

16 . The system 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 system 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 system 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 . 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 profile, the cognitive profile referencing personal data associated with a 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.

20 . The non-transitory, computer-readable storage medium of claim 19 , wherein:

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

21 . The non-transitory, computer-readable storage medium of claim 19 , wherein:

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

22 . The non-transitory, computer-readable storage medium of claim 21 , 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.

23 . The non-transitory, computer-readable storage medium of claim 19 , 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.

24 . The non-transitory, computer-readable storage medium of claim 19 , 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.

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

26 . The non-transitory, computer-readable storage medium of claim 19 , wherein the computer executable instructions are provided by a service provider to a user on an on-demand basis.

Assignments (4)
SECURITY INTEREST Recorded Dec 22, 2022
From: TECNOTREE TECHNOLOGIES INC.
To: TRIPLEPOINT CAPITAL LLC
Reel/Frame 062213/0388 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Dec 14, 2022
From: COGNITIVE SCALE, INC.; COGNITIVESCALE SOFTWARE INDIA PVT. LTD.; COGNITIVE SCALE UK LTD.; COGNITIVE SCALE (CANADA) INC.
To: TECNOTREE TECHNOLOGIES, INC.
Reel/Frame 062125/0051 →
SECURITY INTEREST Recorded Oct 25, 2022
From: COGNITIVE SCALE INC.
To: TRIPLEPOINT CAPITAL LLC
Reel/Frame 061771/0001 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded May 25, 2021
From: FAITH, JOHN N.; KOTHE, KYLE W.; SANCHEZ, MATTHEW; CHAWLA, NEERAJ
To: COGNITIVE SCALE, INC.
Reel/Frame 056344/0914 →