Cognitive media content

• US 10,558,708 B2
• Filed: 12/14/2018
• Issued: 02/11/2020
• Est. Priority Date: 06/09/2014
• Status: Active Grant

• Current Assignee: Tecnotree Technologies Incorporated
• Original Assignee: Cognitive Scale Inc (Tecnotree Oyj)
• Inventors: Chawla, Neeraj, Segars, Joshua L.
• Primary Examiner(s): Hershley, Mark E
• Application Number:
  US16/220,942
• Publication Number:
  US 20190122126A1
• Time in Patent Office: 424 Days
• Field of Search: 707741
• CPC Class Codes: G06F 13/4208 being a system bus, e.g. VME bus, Futurebus, Multibus
• CPC Class Codes: G06F 16/24568 Data stream processing; Continuous queries
• CPC Class Codes: G06F 16/2465 Query processing support for facilitating data mining operations in structured databases
• CPC Class Codes: G06F 16/287 Visualization; Browsing
• CPC Class Codes: G06F 16/9024 Graphs; Linked lists G06F16/9027 takes precedence
• CPC Class Codes: G06F 16/955 using information identifiers, e.g. uniform resource locators [URL]
• CPC Class Codes: G06F 16/972 Access to data in other repository systems, e.g. legacy data or dynamic Web page generation
• CPC Class Codes: G06N 20/00 Machine learning
• CPC Class Codes: G06N 5/022 Knowledge engineering; Knowledge acquisition
• CPC Class Codes: G06N 5/04 Inference or reasoning models
• CPC Class Codes: G06Q 30/0241 Advertisements
• CPC Class Codes: G06Q 30/0269 based on user profile or attribute
• CPC Class Codes: G06Q 30/0277 Online advertisement
• CPC Class Codes: H04W 4/025 using location based information parameters

Abstract

A method, system and computer-usable medium for providing composite cognitive insights 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 and generating a sub-graph for incorporation into a cognitive graph; processing the cognitive graph, the processing the cognitive graph providing a plurality of individual cognitive insights; generating a composite cognitive insight, the composite cognitive insight being composed of the plurality of individual cognitive insights; and, providing the composite cognitive insight to a user via a set of cognitive media content.

Claims

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 for providing composite cognitive insights within a cognitive information processing system environment, the cognitive information processing system environment comprising a plurality of data sources, a cognitive inference and learning system, a cognitive application and a repository of cognitive media content, 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, the plurality of data sources comprising respective data repositories;

processing, via the cognitive inference and learning system, 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 and generating a sub-graph for incorporation into a cognitive graph, the cognitive inference and learning system executing on a hardware processor of an information processing system, the cognitive inference and learning system and the information processing system providing a cognitive computing function, the cognitive inference and learning system comprising a cognitive platform, the cognitive platform comprising a cognitive engine, the cognitive engine comprising an insight engine, the cognitive platform interacting with an insight Application Program Interface (API), the insight API conveying a cognitive insight summary to the cognitive application;

processing the cognitive graph via the insight engine, the processing the cognitive graph providing a plurality of individual cognitive insights for a user, the insight engine using the cognitive graph as a data source to provide the plurality of individual insights;

generating a composite cognitive insight, the composite cognitive insight being composed of the plurality of individual cognitive insights, the generating orchestrating the insight engine to generate the composite cognitive insight from the plurality of individual cognitive insights; and

,

providing the composite cognitive insight to the user via the cognitive application, the cognitive application presenting the user with the composite cognitive insight via cognitive media content, the cognitive media content being selected from a repository of cognitive media content by the cognitive platform.

2. The system of claim 1, wherein:

the cognitive media content comprises at least one of a cognitive media content element, a non-commercial content element, and an advertising content element.

3. The system of claim 1, wherein:

the composite cognitive insight comprises a contextually-relevant composite insight; and

,

the cognitive media content comprises content related to the contextually-relevant insight.

4. The system of claim 1, wherein the instructions executable by the processor further comprise instructions for:

referencing a cognitive persona when generating the composite cognitive insight, the cognitive persona comprising an archetype user model representing common attributes associated with a hypothesized group of users.

5. The system of claim 1, wherein the instructions executable by the processor further comprise instructions for:

annotating the cognitive media content to indicate an association with other cognitive media content.

6. The system of claim 1, wherein:

the cognitive media content is presented via a cognitive insight summary.

7. A non-transitory, computer-readable storage medium embodying computer program code for providing composite cognitive insights within a cognitive information processing system environment, the cognitive information processing system environment comprising a plurality of data sources, a cognitive inference and learning system, a cognitive application and a repository of cognitive media content, the computer program code comprising computer executable instructions configured for:

receiving streams of data from a plurality of data sources, the plurality of data sources comprising respective data repositories;

processing, via the cognitive inference and learning system, 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 and generating a sub-graph for incorporation into a cognitive graph, the cognitive inference and learning system executing on a hardware processor of an information processing system, the cognitive inference and learning system and the information processing system providing a cognitive computing function, the cognitive inference and learning system comprising a cognitive platform, the cognitive platform comprising a cognitive engine, the cognitive engine comprising an insight engine, the cognitive platform interacting with an insight Application Program Interface (API), the insight API conveying a cognitive insight summary to the cognitive application;

processing the cognitive graph via the insight engine, the processing the cognitive graph providing a plurality of individual cognitive insights for a user, the insight engine using the cognitive graph as a data source to provide the plurality of individual insights;

generating a composite cognitive insight, the composite cognitive insight being composed of the plurality of individual cognitive insights, the generating orchestrating the insight engine to generate the composite cognitive insight from the plurality of individual cognitive insights; and

,

providing the composite cognitive insight to the user via the cognitive application, the cognitive application presenting the user with the composite cognitive insight via cognitive media content, the cognitive media content being selected from a repository of cognitive media content by the cognitive platform.

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

the cognitive media content comprises at least one of a cognitive media content element, a non-commercial content element, and an advertising content element.

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

the composite cognitive insight comprises a contextually-relevant composite insight; and

,

the cognitive media content comprises content related to the contextually-relevant insight.

10. The non-transitory, computer-readable storage medium of claim 7, wherein the instructions executable by the processor further comprise instructions for:

referencing a cognitive persona when generating the composite cognitive insight, the cognitive persona comprising an archetype user model representing common attributes associated with a hypothesized group of users.

11. The non-transitory, computer-readable storage medium of claim 7, wherein the instructions executable by the processor further comprise instructions for:

annotating the cognitive media content to indicate an association with other cognitive media content.

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

the cognitive media content is presented via a cognitive insight summary.

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.

15. A hybrid cloud infrastructure comprising:

a first cognitive inference and learning system, the first cognitive inference and learning system executing on a first hardware processor of a first information processing system, the first cognitive inference and learning system and the information processing system providing a first cognitive computing function, the first cognitive inference and learning system comprising a plurality of public data sources and a repository of cognitive media content, the first cognitive inference and learning system comprising a hosted cognitive platform, the hosted cognitive platform comprising a hosted cognitive engine, the hosted cognitive engine comprising a hosted insight engine, the hosted cognitive platform being configured for;

receiving streams of data from the plurality of public data sources, the public data sources comprising respective public data repositories;

processing the streams of data from the plurality of public data sources, the processing the streams of data from the plurality of data sources performing data enriching and generating a sub-graph for incorporation into a cognitive graph;

processing the cognitive graph via the hosted insight engine, the processing the cognitive graph providing a plurality of individual hosted cognitive insights for a user, the hosted insight engine using the cognitive graph as a data source to provide the plurality of individual hosted cognitive insights; and

,

a second cognitive inference and learning system, the second cognitive inference and learning system executing on a second hardware processor of a second information processing system, the second cognitive inference and learning system and the second information processing system providing a second cognitive computing function, the second cognitive inference and learning system comprising a private, company managed data source and a repository of private cognitive media content, the second cognitive inference and learning system comprising a private cognitive platform, the private cognitive platform comprising a private cognitive engine, the private cognitive engine comprising a private insight engine, the private cognitive platform being configured for;

receiving streams of data from the private, company managed data source, the private, company managed data source comprising a private data repository;

processing the streams of data from the private, company managed data source, the processing the streams of data from the private, company managed data source performing data enriching and generating a sub-graph for incorporation into a private cognitive graph;

processing the private cognitive graph via the private insight engine, the processing the cognitive graph providing a plurality of individual private cognitive insights for a user, the private insight engine using the cognitive graph as a data source to provide the plurality of individual private insights;

generating a composite cognitive insight, the composite cognitive insight being composed of the plurality of individual hosted cognitive insights and the plurality of individual private cognitive insights, the generating orchestrating the private insight engine to generate the composite cognitive insight from the plurality of hosted cognitive insights and the plurality of individual private cognitive insights; and

,

providing the composite cognitive insight to the user via a private cognitive application, the private cognitive application presenting the user with the composite cognitive insight as cognitive media content, the cognitive media content being selected from the repository of private cognitive media content by the private cognitive platform.

16. The hybrid cloud infrastructure of claim 15, wherein:

the private cognitive media content comprises at least one of a cognitive media content element, a non-commercial content element, and an advertising content element.

17. The hybrid cloud infrastructure of claim 15, wherein:

the composite cognitive insight comprises a contextually-relevant composite insight; and

,

the private cognitive media content comprises content related to the contextually-relevant insight.

18. The hybrid cloud infrastructure of claim 15, wherein the instructions executable by the processor further comprise instructions for:

referencing a cognitive persona when generating the composite cognitive insight, the cognitive persona comprising an archetype user model representing common attributes associated with a hypothesized group of users.

19. The hybrid cloud infrastructure of claim 15, wherein the instructions executable by the processor further comprise instructions for:

annotating the cognitive media content to indicate an association with other cognitive media content.

20. The hybrid cloud infrastructure of claim 15, wherein:

the cognitive media content is presented via a cognitive insight summary.