IP Library › Granted Patent US 12,367,337
Granted Patent B2
US 12,367,337 · App. 18/303,890 · Granted Jul 22, 2025

Methods and systems for shared language framework to maximize composability of software, translativity of information, and end-user independence

Inventors: Andres Gutierrez (Los Angeles, CA); Adler Faulkner (Los Angeles, CA)
Assignee: COMAKE, INC.
G06F40/20G06F16/213G06F16/215
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Quick Facts
Patent No.
US 12,367,337
App. No.
18/303,890
Granted
Jul 22, 2025
Kind
B2
Abstract

Disclosed herein are methods and systems for generating and using a shared knowledge language. In one embodiment, a method comprises retrieving data generated as a result of at least one computing device accessing one or more applications from a set of applications; generating a computer model comprising a set of nodes where each node having an identifier corresponding to a series of nouns and verbs generated in accordance with a schema associated with a shared knowledge language; when the processor receives a request: identifying a node that corresponds to the request; retrieving a pair of related nodes within the nodal data structure the processor identifying whether the relevance threshold has been satisfied using each respective node's identifier corresponding to the schema.

Claims (60)

1. A method comprising:

periodically retrieving, by one or more processors from a plurality of electronic data repositories accessible to a plurality of computing devices, data generated as a result of at least one computing device accessing and using one or more applications from a set of applications;

generating, by the one or more processors, a computer model comprising a nodal data structure of a set of nodes where each node corresponds to data identified as associated with each application within the set of applications accessed and used by each computing device, each node having an identifier corresponding to a series of nouns and verbs generated in accordance with a schema associated with a shared knowledge language, wherein the series of nouns define one or more types of data and the series of verbs define one or more software processes;

transforming, by the one or more processors, the retrieved data into a series of nouns and verbs in accordance with the schema;

adding, by the one or more processors, the transformed data to the nodal data structure as a set of nodes within the nodal data structure;

deduplicating, by the one or more processors, one or more nodes within the nodal data structure that satisfy a relevance score; and

when the one or more processors receives a request:

identifying, by the one or more processors, a node within the set of nodes that corresponds to the request;

retrieving, by the one or more processors, a pair of related nodes within the set of nodes of the nodal data structure that correspond to the node associated with the request, wherein when a first node within the pair of nodes satisfies a relevance threshold with respect to a second node within the pair of nodes, the first node and the second node are linked as related, the processor identifying whether the relevance threshold has been satisfied using each respective node's identifier corresponding to the schema; and

displaying, by the one or more processors, data for at least one node that is linked to the node associated with the request.

2. The method of claim 1 , further comprising:

generating, by the one or more processors, the nouns and verbs based on an application programming interface.

3. The method of claim 1 , wherein an indication of the schema is received from a user from a library of schemas.

4. The method of claim 3 , further comprising:

executing, by the one or more processors, a natural language protocol to identify the indication of the schema.

5. The method of claim 1 , wherein the schema is uploaded by a user.

6. The method of claim 1 , wherein the schema has a set of parameters corresponding to a set of schemas of a schema library.

7. The method of claim 1 , further comprising:

de-duplicating, by the one or more processors, the pair of nodes, based on their respective identifiers.

8. The method of claim 1 , further comprising:

executing, by the one or more processors, an artificial intelligence model to identify the nouns or verbs.

9. The method of claim 1 , further comprising:

displaying, by the one or more processors, a user interface configured to receive an input corresponding to at least one of installing, uninstalling, or editing the schema.

10. A system comprising:

a non-transitory computer readable medium having a set of instructions that when executed, cause a processor to:

periodically retrieve, from a plurality of electronic data repositories accessible to a plurality of computing devices, data generated as a result of at least one computing device accessing and using one or more applications from a set of applications;

generate a computer model comprising a nodal data structure of a set of nodes where each node corresponds to data identified as associated with each application within the set of applications accessed and used by each computing device, each node having an identifier corresponding to a series of nouns and verbs generated in accordance with a schema associated with a shared knowledge language, wherein the series of nouns define one or more types of data and the series of verbs define one or more software processes;

transform the retrieved data into a series of nouns and verbs in accordance with the schema;

adding the transformed data to the nodal data structure as a set of nodes within the nodal data structure;

deduplicate one or more nodes within the nodal data structure that satisfy a relevance score; and

when the processor receives a request:

identify a node within the set of nodes that corresponds to the request;

retrieve a pair of related nodes within the set of nodes of the nodal data structure that correspond to the node associated with the request, wherein when a first node within the pair of nodes satisfies a relevance threshold with respect to a second node within the pair of nodes, the first node and the second node are linked as related, the processor identifying whether the relevance threshold has been satisfied using each respective node's identifier corresponding to the schema; and

display data for at least one node that is linked to the node associated with the request.

11. The system of claim 10 , wherein the set of instructions further cause the processor to:

generate the nouns and verbs based on an application programming interface.

12. The system of claim 10 , wherein an indication of the schema is received from a user from a library of schemas.

13. The system of claim 12 , wherein the set of instructions further cause the processor to:

execute a natural language protocol to identify the indication of the schema.

14. The system of claim 10 , wherein the schema is uploaded by a user.

15. The system of claim 10 , wherein the schema has a set of parameters corresponding to a set of schemas of a schema library.

16. The system of claim 10 , wherein the set of instructions further cause the processor to:

de-duplicate the pair of nodes, based on their respective identifiers.

17. The system of claim 10 , wherein the set of instructions further cause the processor to:

execute an artificial intelligence model to identify the nouns or verbs.

18. The system of claim 10 , wherein the set of instructions further cause the processor to:

display a user interface configured to receive an input corresponding to at least one of installing, uninstalling, or editing the schema.

19. A system comprising:

a plurality of electronic data repositories; and

a processor in communication with the plurality of electronic data repositories, the processor configured to:

periodically retrieve from the plurality of electronic data repositories accessible to a plurality of computing devices, data generated as a result of at least one computing device accessing and using one or more applications from a set of applications;

generate a computer model comprising a nodal data structure of a set of nodes where each node corresponds to data identified as associated with each application within the set of applications accessed and used by each computing device, each node having an identifier corresponding to a series of nouns and verbs generated in accordance with a schema associated with a shared knowledge language, wherein the series of nouns define one or more types of data and the series of verbs define one or more software processes;

transforming, by the one or more processors, the retrieved data into a series of nouns and verbs using in accordance with the schema;

add the transformed data to the nodal data structure as a set of nodes within the nodal data structure;

deduplicate one or more nodes within the nodal data structure that satisfy a relevance score; and

when the processor receives a request:

identify a node within the set of nodes that corresponds to the request;

retrieve a pair of related nodes within the set of nodes of the nodal data structure that correspond to the node associated with the request, wherein when a first node within the pair of nodes satisfies a relevance threshold with respect to a second node within the pair of nodes, the first node and the second node are linked as related, the processor identifying whether the relevance threshold has been satisfied using each respective node's identifier corresponding to the schema; and

display data for at least one node that is linked to the node associated with the request.

20. The system of claim 19 , wherein an indication of the schema is received from a user from a library of schemas.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Apr 23, 2025
From: GUTIERREZ, ANDRES; FAULKNER, ADLER
To: COMAKE, INC.
Reel/Frame 070919/0858 →
Continuity (9)
Continuation 18088485 · Dec 23, 2022
Continuation In Part 17707888 · Mar 29, 2022
Provisional Application 63354563 · Jun 22, 2022
Provisional Application 63351690 · Jun 13, 2022
Provisional Application 63308305 · Feb 9, 2022
Provisional Application 63293600 · Dec 23, 2021
Provisional Application 63191852 · May 21, 2021
Provisional Application 63167401 · Mar 29, 2021
Related Publication 20230252233A1 · Aug 10, 2023
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