Knowledge representation systems and methods incorporating customization

Patent metadata

Field	Value
Publication number	US-9177248-B2
Application number	US-201213609223-A
Country	US
Kind code	B2
Filing date	Sep 10, 2012
Priority date	Mar 30, 2005
Publication date	Nov 3, 2015
Grant date	Nov 3, 2015

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.

First claim

The invention claimed is:

1. A method of modifying 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:
obtaining an indicator regarding an elemental component based on data associated with one or more of the plurality of customized modules;
determining whether the indicator satisfies a criterion for performing a modification operation on the elemental computer data structure; and
based on the indicator satisfying the criterion, performing the modification operation on the elemental computer data structure,
wherein a result provided by the elemental computer data structure for a first of the plurality of data consumers depends on the universal kernel and is customized for the first data consumer based on a first of the plurality of customized modules,
wherein the elemental computer data structure further includes a domain-specific customized module, and performing the modification operation on the elemental computer data structure comprises modifying an elemental component of, adding an elemental component to, or removing an elemental component from the domain-specific customized module based on the data associated with the one or more of the plurality of customized modules.

2. The method of claim 1 , wherein the elemental component comprises a concept and/or a relationship between a pair of concepts.

3. The method of claim 1 , further comprising estimating the indicator regarding the elemental component by performing statistical sampling of the data associated with the one or more of the plurality of customized modules.

4. The method of claim 3 , wherein performing the statistical sampling comprises:
obtaining samples of the data associated with the one or more of the plurality of customized modules; and
computing the indicator based on values of the samples.

5. The method of claim 1 , wherein performing the modification operation on the elemental computer data structure comprises modifying an elemental component of, adding an elemental component to, or removing an elemental component from the universal kernel and/or the first of the plurality of customized modules based on the data associated with the one or more of the plurality of customized modules.

6. The method of claim 1 , wherein the result provided by the elemental computer data structure for the first of the plurality of data consumers further depends on the domain-specific customized module.

7. The method of claim 1 , wherein the one or more of the plurality of customized modules are associated with the domain-specific customized module.

8. The method of claim 1 , wherein the indicator indicates a popularity of the elemental component among the one or more of the plurality of customized modules.

9. The method of claim 8 , wherein the indicator comprises a number of the plurality of customized modules that include the elemental component, a percentage of the plurality of customized modules that include the elemental component, and/or a ranking of the popularity of the elemental component among the plurality of customized modules relative to other elemental components.

10. The method of claim 8 , wherein the criterion comprises a threshold number of modules, a threshold percentage of modules, and/or a threshold ranking of popularity.

11. The method of claim 1 , wherein the indicator indicates a trend of operations performed with the elemental component over a time period.

12. The method of claim 11 , wherein the indicator comprises a number, percentage, and/or ranking of the plurality of customized modules to which the elemental component was added during the time period, or a number, percentage, and/or ranking of the plurality of customized modules from which the elemental component was removed during the time period.

13. The method of claim 11 , wherein the criterion comprises a threshold number of modules, a threshold percentage of modules, and/or a threshold ranking.

14. The method of claim 1 , wherein the indicator indicates an importance of the elemental component.

15. The method of claim 14 , wherein the method further comprises calculating the indicator by calculating a score associated with the elemental component based on a plurality of weights associated with the elemental component by the plurality of customized modules.

16. The method of claim 14 , wherein the criterion comprises a threshold weight.

17. An apparatus for modifying 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:
obtain an indicator regarding an elemental component based on data associated with one or more of the plurality of customized modules;
determine whether the indicator satisfies a criterion for performing a modification operation on the elemental computer data structure; and
based on the indicator satisfying the criterion, perform the modification operation on the elemental computer data structure,

wherein a result provided by the elemental computer data structure for a first of the plurality of data consumers depends on the universal kernel and is customized for the first data consumer based on a first of the plurality of customized modules,
wherein the elemental computer data structure further includes a domain-specific customized module, and performing the modification operation on the elemental computer data structure comprises modifying an elemental component of, adding an elemental component to, or removing an elemental component from the domain-specific customized module based on the data associated with the one or more of the plurality of customized modules.

18. A non-transitory computer-readable medium storing instructions which, when executed by a processor, cause the processor to perform a method of modifying 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:
obtaining an indicator regarding an elemental component based on data associated with one or more of the plurality of customized modules;
determining whether the indicator satisfies a criterion for performing a modification operation on the elemental computer data structure; and
based on the indicator satisfying the criterion, performing the modification operation on the elemental computer data structure,
wherein a result provided by the elemental computer data structure for a first of the plurality of data consumers depends on the universal kernel and is customized for the first data consumer based on a first of the plurality of customized modules,
wherein the elemental computer data structure further includes a domain-specific customized module, and performing the modification operation on the elemental computer data structure comprises modifying an elemental component of, adding an elemental component to, or removing an elemental component from the domain-specific customized module based on the data associated with

Assignees

• Sweeney Peter Joseph
• Ilyas Ihab Francis
• Primal Fusion Inc

Inventors

• Sweeney Peter Joseph
• Ilyas Ihab Francis

Classifications

• G06N7/01

  Probabilistic graphical models, e.g. probabilistic networks · CPC title

• G06N5/02 Primary

  Knowledge representation; Symbolic representation · CPC title

• G06F16/3344

  using natural language analysis · CPC title

• G06N5/00

  Computing arrangements using knowledge-based models · CPC title

• G06N7/005

  Physics · mapped topic