Cognitive Attribution

• US 20180307990A1
• Filed: 09/25/2017
• Published: 10/25/2018
• Est. Priority Date: 04/20/2017
• Status: Active Grant

• Current Assignee: Tecnotree Technologies Incorporated
• Original Assignee: Cognitive Scale Inc (Tecnotree Oyj)
• Inventors: Chawla, Neeraj, Sanchez, Matthew, Ricaurte, Andrea M., Ranatunga, Dilum, Acharya, Ayan, Lindsley, Hannah R.
• Granted Patent: US 10,643,139 B2
• Time in Patent Office: Days
• CPC Class Codes: G06F 16/243 Natural language query formulation
• CPC Class Codes: G06F 16/36 Creation of semantic tools, e.g. ontology or thesauri
• CPC Class Codes: G06F 16/5854 using shape and object relationship
• CPC Class Codes: G06F 16/9535 Search customisation based on user profiles and personalisation
• CPC Class Codes: G06F 16/954 Navigation, e.g. using categorised browsing
• CPC Class Codes: G06F 16/957 Browsing optimisation, e.g. caching or content distillation
• 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: G06N 5/041 Abduction
• CPC Class Codes: G06N 5/043 Distributed expert systems; Blackboards
• CPC Class Codes: G06T 7/11 Region-based segmentation

Abstract

A method, system and computer readable medium for generating a cognitive insight comprising: receiving content element data, the content element data representing a content element, the content element comprising an element of a corpus of content; performing a cognitive learning operation on the content element data, the cognitive learning operation identifying descriptive information associated with the content element; associating a cognitive attribute with the content element using the descriptive information associated with the content element.

Claims

1. A computer-implementable method for performing a cognitive attribution operation comprising:

receiving content element data, the content element data representing a content element, the content element comprising an element of a corpus of content;

performing a cognitive learning operation on the content element data, the cognitive learning operation identifying descriptive information associated with the content element;

associating a cognitive attribute with the content element using the descriptive information associated with the content element.

2. The method of claim 1, wherein:

the content element data comprises an image data element; and

,

the cognitive learning operation comprising performing a computer vision operation on the content element data.

3. The method of claim 2, wherein:

the computer vision operation segments portions of the image data element to provide a segmented image comprising a plurality of image segments.

4. The method of claim 3, wherein:

the cognitive attribute is associated with at least one cognitive attribute class; and

,

an image segment of the plurality of image segments is associated with a corresponding cognitive attribute class.

5. The method of claim 2, wherein:

the content element comprises descriptive information related to the image data element; and

,

the cognitive learning operation comprises performing a natural language processing operation on the descriptive information related to the image data element to generate a cognitive attribute associated with the description information.

6. The method of claim 5, wherein:

the cognitive attribute associated with the descriptive information is associated with at least one cognitive attribute class.

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 content element data, the content element data representing a content element, the content element comprising an element of a corpus of content;

performing a cognitive learning operation on the content element data, the cognitive learning operation identifying descriptive information associated with the content element;

associating a cognitive attribute with the content element using the descriptive information associated with the content element.

8. The system of claim 7, wherein:

the content element data comprises an image data element; and

,

the cognitive learning operation comprising performing a computer vision operation on the content element data.

9. The system of claim 8, wherein:

the computer vision operation segments portions of the image data element to provide a segmented image comprising a plurality of image segments.

10. The system of claim 9, wherein:

the cognitive attribute is associated with at least one cognitive attribute class; and

,

an image segment of the plurality of image segments is associated with a corresponding cognitive attribute class.

11. The system of claim 8, wherein:

the content element comprises descriptive information related to the image data element; and

,

the cognitive learning operation comprises performing a natural language processing operation on the descriptive information related to the image data element to generate a cognitive attribute associated with the description information.

12. The system of claim 11, wherein:

the cognitive attribute associated with the descriptive information is associated with at least one cognitive attribute class.

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

receiving content element data, the content element data representing a content element, the content element comprising an element of a corpus of content;

performing a cognitive learning operation on the content element data, the cognitive learning operation identifying descriptive information associated with the content element;

associating a cognitive attribute with the content element using the descriptive information associated with the content element.

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

the content element data comprises an image data element; and

,

the cognitive learning operation comprising performing a computer vision operation on the content element data.

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

the computer vision operation segments portions of the image data element to provide a segmented image comprising a plurality of image segments.

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

the cognitive attribute is associated with at least one cognitive attribute class; and

,

an image segment of the plurality of image segments is associated with a corresponding cognitive attribute class.

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

the content element comprises descriptive information related to the image data element; and

,

the cognitive learning operation comprises performing a natural language processing operation on the descriptive information related to the image data element to generate a cognitive attribute associated with the description information.

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

the cognitive attribute associated with the descriptive information is associated with at least one cognitive attribute class.

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.