KNOWLEDGE REPRESENTATION SYSTEMS AND METHODS INCORPORATING CUSTOMIZATION

• US 20130066823A1
• Filed: 09/10/2012
• Published: 03/14/2013
• Est. Priority Date: 03/30/2005
• Status: Abandoned Application

• Current Assignee: Primal Fusion Inc.
• Original Assignee: Primal Fusion Inc.
• Inventors: Sweeney, Peter Joseph, Ilyas, Ihab Francis
• Application Number:
  US13/609,218
• Publication Number:
  US 20130066823A1
• Time in Patent Office: Days
• US Class Current: 706/50
• CPC Class Codes: G06F 16/3344 using natural language analysis
• CPC Class Codes: G06N 5/02 Knowledge representation; Symbolic representation
• CPC Class Codes: G06N 7/01 Probabilistic graphical models, e.g. probabilistic networks

Abstract

Techniques for analyzing and synthesizing complex knowledge representations (KRs) may utilize an atomic knowledge representation model including an elemental data structure and knowledge processing rules that are machine-readable. The elemental data structure may include a universal kernel and customized modules, which may represent knowledge that is generally applicable to a population and knowledge that is specifically applicable to individual data consumers, respectively.

A method of constructing an elemental data structure may include analyzing first information to identify a first elemental component associated with a data consumer, and adding the first elemental component to a customized module corresponding to the data consumer. The method may also include analyzing second information to identify a second elemental component associated with a population, and adding the second elemental component to the universal kernel.

Claims

1. A method of constructing an elemental computer data structure, the elemental computer data structure including a universal kernel and a plurality of customized modules, the plurality of customized modules corresponding to a respective plurality of data consumers, the method comprising, with at least one processor executing stored program instructions:

analyzing first information to identify a first elemental component associated with a first of the plurality of data consumers;

adding a representation of the first elemental component to the elemental computer data structure as part of a first of the plurality of customized modules, the first customized module corresponding to the first data consumer;

analyzing second information to identify a second elemental component associated with two or more of the plurality of data consumers and/or independent of the first data consumer; and

adding a representation of the second elemental component to the elemental computer data structure as part of the universal kernel,

wherein the elemental computer data structure is encoded as at least one computer-readable data structure storing the universal kernel and the plurality of customized modules.

2. The method of claim 1, wherein:

the first elemental component comprises a concept and/or a relationship between a pair of concepts, and is encoded in a portion of the at least one computer-readable data structure storing data associated with the concept and/or relationship.

3. The method of claim 2, wherein:

the pair of concepts includes first and second concepts,

the first customized module includes the first concept, and

the universal kernel includes the second concept.

4. The method of claim 2, wherein the first customized module includes the pair of concepts.

5. The method of claim 1, wherein the first customized module comprises a plurality of elemental components that relate to the first data consumer, and wherein the universal kernel comprises a plurality of elemental components that relate to the two or more of the plurality of data consumers.

6. The method of claim 1, wherein:

the elemental computer data structure further includes a second plurality of customized modules;

the second plurality of customized modules correspond to a respective plurality of information domains;

one or more of the plurality of customized modules is associated with a domain-specific module of the second plurality of customized modules; and

the method further comprises;

analyzing third information to identify a third elemental component, and

adding a representation of the third elemental component to the elemental computer data structure as part of the domain-specific module.

7. The method of claim 1, wherein the first information relates to the first data consumer, and the second information relates to two or more of the plurality of data consumers and/or is independent of the first data consumer.

8. The method of claim 1, wherein the first information comprises context information.

9. The method of claim 1, wherein:

the first information comprises interaction data corresponding to an interaction of the first data consumer with one or more knowledge representations provided to the first data consumer by a knowledge representation device, and

the second information comprises an input knowledge representation.

10. The method of claim 9, wherein the first data consumer comprises one or more people, one or more software modules, and/or one or more computing devices.

11. The method of claim 9, wherein analyzing the first information comprises applying one or more rules to deconstruct the first information into one or more elemental components that relate to the first data consumer.

12. The method of claim 11, wherein analyzing the first information further comprises feeding back the first information from an output of a knowledge representation system to an input of the knowledge representation system.

13. An apparatus for constructing an elemental computer data structure, the elemental computer data structure including a universal kernel and a plurality of customized modules, the plurality of customized modules corresponding to a respective plurality of data consumers, the apparatus comprising:

one or more computer-readable media capable of storing the elemental computer data structure; and

an analysis engine configured to;

apply one or more knowledge processing rules to first information to identify a first elemental component associated with a first of the plurality of data consumers,

add a representation of the first elemental component to the elemental computer data structure as part of a first of the plurality of customized modules, the first customized module corresponding to the first data consumer,

apply one or more knowledge processing rules to second information to identify a second elemental component associated with two or more of the plurality of data consumers and/or independent of the first data consumer, and

add a representation of the second elemental component to the elemental computer data structure as part of the universal kernel.

14. The apparatus of claim 13, wherein the apparatus further comprises a feedback engine configured to send at least part of the first information from an output of the apparatus to an input of the apparatus.

15. A computer-readable medium storing instructions which, when executed by a processor, cause the processor to perform a method of constructing an elemental computer data structure, the elemental computer data structure including a universal kernel and a plurality of customized modules, the plurality of customized modules corresponding to a respective plurality of data consumers, the method comprising:

analyzing first information to identify a first elemental component associated with a first of the plurality of data consumers;

adding a representation of the first elemental component to the elemental computer data structure as part of a first of the plurality of customized modules, the first customized module corresponding to the first data consumer;

analyzing second information to identify a second elemental component associated with two or more of the plurality of data consumers and/or independent of the first data consumer; and

adding a representation of the second elemental component to the elemental computer data structure as part of the universal kernel.