Methods and devices for customizing knowledge representation systems

• US 10,474,647 B2
• Filed: 01/11/2017
• Issued: 11/12/2019
• Est. Priority Date: 06/22/2010
• Status: Active Grant

• Current Assignee: Primal Fusion Inc.
• Original Assignee: Primal Fusion Inc.
• Inventors: Sweeney, Peter, Ilyas, Ihab Francis
• Primary Examiner(s): Holmes, Michael B
• Application Number:
  US15/403,761
• Publication Number:
  US 20170169334A1
• Time in Patent Office: 1,035 Days
• Field of Search: 706 11
• CPC Class Codes: G06F 16/211 Schema design and management
• CPC Class Codes: G06F 16/212 with details for data modelling support
• CPC Class Codes: G06F 16/248 Presentation of query results
• CPC Class Codes: G06F 16/3344 using natural language analysis
• CPC Class Codes: G06N 5/02 Knowledge representation; Symbolic representation
• CPC Class Codes: G06N 5/022 Knowledge engineering; Knowledge acquisition
• CPC Class Codes: G06N 7/01 Probabilistic graphical models, e.g. probabilistic networks
• CPC Class Codes: Y04S 10/50 Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications

Abstract

Techniques for customizing knowledge representation systems including identifying, based on a plurality of concepts in a knowledge representation (KR), a group of one or more concepts relevant to user context information, and providing the identified group of one more concepts to a user. The KR may include a combination of modules. The modules may include a kernel and a customized module customized for the user. The kernel may accessible via a second KR.

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;

synthesizing, in accordance with the requested context, a synthesized concept and/or relationship between concepts, at least in part by applying one or more rules to an elemental computer data structure including a universal kernel and a plurality of customized modules, wherein the universal kernel and the plurality of customized modules each comprise one or more concepts and/or concept relationships, wherein the plurality of customized modules each include at least one concept and/or concept relationship not included in the universal kernel, and wherein applying the one or more rules to the elemental computer data structure comprises applying a first rule of the one or more rules to the universal kernel and to a first customized module of the plurality of customized modules; and

outputting, in accordance with the requested context, a complex knowledge representation, the complex knowledge representation being customized to the data consumer based on the at least one concept and/or concept relationship included in the first customized module and not in the universal kernel.

2. The method of claim 1, further comprising:

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

synthesizing, in accordance with the requested context, a second synthesized concept and/or relationship between concepts, at least in part by 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 computer data structure the second time comprises applying the first rule or another of the one or more rules to the universal kernel and to a second customized module of the plurality of customized modules; and

outputting, in accordance with the requested context, a second complex knowledge representation including the second synthesized concept and/or relationship, the second complex knowledge representation being customized to the second data consumer based on the at least one concept and/or concept relationship included in the second customized module and not in the universal kernel.

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

4. The method of claim 1, wherein the 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 computer 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 non-transitory computer-readable media capable of storing an elemental computer data structure including a universal kernel and a plurality of customized modules, wherein the universal kernel and the plurality of customized modules each comprise one or more concepts and/or concept relationships, wherein the plurality of customized modules each include at least one concept and/or concept relationship not included in the universal kernel; and

a synthesis engine configured to;

receive input from a data consumer indicating a requested context;

synthesize, in accordance with the requested context, a synthesized concept and/or relationship between concepts, at least in part by applying one or more rules to the elemental computer data structure, wherein applying the one or more rules to the elemental computer data structure comprises applying a first rule of the one or more rules to the universal kernel and to a first customized module of the plurality of customized modules; and

output, in accordance with the requested context, a complex knowledge representation including the synthesized concept and/or relationship, the complex knowledge representation being customized to the data consumer based on the at least one concept and/or concept relationship included in the first customized module and not in the universal kernel.

8. The apparatus of claim 6, wherein the synthesis engine is further configured to:

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

synthesize, in accordance with the requested context, a second synthesized concept and/or relationship between concepts, at least in part by 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 computer data structure the second time comprises applying the first rule or another of the one or more rules to the universal kernel and to a second customized module of the plurality of customized modules; and

output, in accordance with the requested context, a second complex knowledge representation including the second synthesized concept and/or relationship, the second complex knowledge representation being customized to the second data consumer based on the at least one concept and/or concept relationship included in the second customized module and not in the universal kernel.

9. The apparatus of claim 8, wherein the second synthesized concept and/or relationship differs from the first synthesized concept and/or relationship.

10. The apparatus of claim 6, wherein the data consumer comprises one or more people, one or more software modules, and/or one or more computing devices.

11. The apparatus of claim 6, 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 synthesis engine is configured to apply the one or more rules to the elemental computer data structure at least in part by applying a rule to the domain-specific module.

7. A non-transitory 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;

synthesizing, in accordance with the requested context, a synthesized concept and/or relationship between concepts, at least in part by applying one or more rules to an elemental computer data structure including a universal kernel and a plurality of customized modules, wherein the universal kernel and the plurality of customized modules each comprise one or more concepts and/or concept relationships, wherein the plurality of customized modules each include at least one concept and/or concept relationship not included in the universal kernel, and wherein applying the one or more rules to the elemental computer data structure comprises applying a first rule of the one or more rules to the universal kernel and to a first customized module of the plurality of customized modules; and

outputting, in accordance with the requested context, a complex knowledge representation including the synthesized concept and/or relationship, the complex knowledge representation being customized to the data consumer based on the at least one concept and/or concept relationship included in on the first customized module and not in the universal kernel.

12. The non-transitory computer readable medium of claim 7, the method further comprising:

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

synthesizing, in accordance with the requested context, a second synthesized concept and/or relationship between concepts, at least in part by 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 computer data structure the second time comprises applying the first rule or another of the one or more rules to the universal kernel and to a second customized module of the plurality of customized modules; and

outputting, in accordance with the requested context, a second complex knowledge representation including the second synthesized concept and/or relationship, the complex knowledge representation being customized to the second data consumer based on the at least one concept and/or concept relationship included in the second customized module and not in the universal kernel.

13. The non-transitory computer readable medium of claim 12, wherein the second synthesized concept and/or relationship differs from the first synthesized concept and/or relationship.

14. The non-transitory computer readable medium of claim 7, wherein the data consumer comprises one or more people, one or more software modules, and/or one or more computing devices.

15. The non-transitory computer readable medium of claim 7, 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 computer data structure further comprises applying a rule to the domain-specific module.