KNOWLEDGE REPRESENTATION SYSTEMS AND METHODS INCORPORATING CUSTOMIZATION

• US 20130046723A1
• Filed: 09/10/2012
• Published: 02/21/2013
• 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:
  US13/609,225
• Publication Number:
  US 20130046723A1
• Time in Patent Office: Days
• US Class Current: 706/47
• CPC Class Codes: G06F 16/3344 using natural language analysis
• CPC Class Codes: G06F 16/951 Indexing; Web crawling techniques
• CPC Class Codes: G06F 8/24 Object-oriented
• 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 outputting a complex KR may include receiving input from a data consumer. The method may further include applying rules to the elemental data structure. Applying rules to the elemental data structure may include applying a rule to the universal kernel and applying a rule to a customized module. The method may further include synthesizing a concept and/or a relationship based on the application of the rules, and outputting a complex KR that is customized to the data consumer based on the customized module.

Claims

1. A method of outputting a complex knowledge representation, the method comprising, with at least one processor executing stored program instructions:

receiving input from a data consumer indicating a requested context;

applying one or more rules to an elemental computer data structure, wherein the elemental computer data structure includes a universal kernel and a plurality of customized modules, and wherein applying the one or more rules to the elemental data structure comprises applying a first of the one or more rules to the universal kernel and a first of the plurality of customized modules;

based on the application of the one or more rules, synthesizing, in accordance with the requested context, a concept and/or a relationship between concepts; and

using the concept and/or the relationship, outputting a complex knowledge representation in accordance with the requested context, the complex knowledge representation being customized to the data consumer based on the first customized module.

2. The method of claim 1, further comprising:

receiving input from a second data consumer indicating the requested context;

applying the one or more rules to the elemental computer data structure a second time, wherein applying the one or more rules to the elemental data structure the second time comprises applying the first rule or another of the one or more rules to the universal kernel and a second of the plurality of customized modules;

based on the application of the one or more rules, synthesizing, in accordance with the requested context, a second concept and/or a second relationship between concepts; and

using the second concept and/or the second relationship, outputting a complex knowledge representation in accordance with the requested context, the complex knowledge representation being customized to the second data consumer based on the second customized module.

3. The method of claim 2, wherein the second concept differs from the first concept, and/or the second relationship differs from the first relationship.

4. The method of claim 1, wherein the first data consumer comprises one or more people, one or more software modules, and/or one or more computing devices.

5. 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

applying the one or more rules to the elemental data structure further comprises applying a rule to the domain-specific module.

6. An apparatus for outputting a complex knowledge representation, the apparatus comprising:

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

a synthesis engine configured to;

receive input from a data consumer indicating a requested context;

apply one or more rules to an elemental computer data structure, wherein the elemental computer data structure includes a universal kernel and a plurality of customized modules, and wherein applying the one or more rules to the elemental data structure comprises applying a first of the one or more rules to the universal kernel and a first of the plurality of customized modules;

based on the application of the one or more rules, synthesize, in accordance with the requested context, a concept and/or a relationship between concepts; and

using the concept and/or the relationship, output a complex knowledge representation in accordance with the requested context, the complex knowledge representation being customized to the first data consumer based on the first customized module.

7. A computer-readable medium storing instructions which, when executed by a processor, cause the processor to perform a method of outputting a complex knowledge representation, the method comprising:

receiving input from a data consumer indicating a requested context;

applying one or more rules to an elemental computer data structure, wherein the elemental computer data structure includes a universal kernel and a plurality of customized modules, and wherein applying the one or more rules to the elemental data structure comprises applying a first of the one or more rules to the universal kernel and a first of the plurality of customized modules;

based on the application of the one or more rules, synthesizing, in accordance with the requested context, a concept and/or a relationship between concepts; and

using the concept and/or the relationship, outputting a complex knowledge representation in accordance with the requested context, the complex knowledge representation being customized to the first data consumer based on the first customized module.