IP Library Granted Patent US 9,934,328
Granted Patent B2
US 9,934,328 · App. 14/731,900 · Granted Apr 3, 2018

Cognitive profiles

Inventors: John N. Faith (Austin, TX); Kyle W. Kothe (Austin, TX)
Assignee: COGNITIVE SCALE, INC.
G06F17/30958G06F13/4208G06F17/30516G06F17/30539G06F17/30601G06F17/30876G06F17/30893G06N5/02G06N5/022G06N5/04G06N99/005G06Q30/0241G06Q30/0269G06Q30/0277H04W4/025
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Quick Facts
Patent No.
US 9,934,328
App. No.
14/731,900
Granted
Apr 3, 2018
Kind
B2
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 (47)

1. 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 data enriching performing sentiment analysis, geotagging and entity detection operations on the streams of data from the plurality of data sources, 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 performed 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, the cognitive computing operation comprising at least one of performing a spatial navigation operation, a machine vision operation and a pattern recognition operation on at least some of the streams of data from the plurality of data sources.

2. The system of claim 1 , wherein:

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

3. The system of claim 1 , wherein:

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

4. The system of claim 3 , 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.

5. The system 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 system of claim 1 , 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.

7. 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 data enriching performing sentiment analysis, geotagging and entity detection operations on the streams of data from the plurality of data sources, 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 performed 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, the cognitive computing operation comprising at least one of performing a spatial navigation operation, a machine vision operation and a pattern recognition operation on at least some of the streams of data from the plurality of data sources.

8. The non-transitory, computer-readable storage medium of claim 7 , wherein:

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

9. The non-transitory, computer-readable storage medium of claim 7 , wherein:

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

10. The non-transitory, computer-readable storage medium 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 non-transitory, computer-readable storage medium 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 non-transitory, computer-readable storage medium 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. The non-transitory, computer-readable storage medium of claim 7 , wherein the computer executable instructions are deployable to a client system from a server system at a remote location.

14. The non-transitory, computer-readable storage medium of claim 7 , 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 20, 2016
From: FAITH, JOHN N.; KOTHE, KYLE W.
To: COGNITIVE SCALE, INC.
Reel/Frame 038655/0396 →
Continuity (2)
Provisional Application 62009626 · Jun 9, 2014
Related Publication 20150356411A1 · Dec 10, 2015