System and method for providing supplemental functionalities to a computer program

• US 10,346,154 B2
• Filed: 12/19/2017
• Issued: 07/09/2019
• Est. Priority Date: 09/18/2015
• Status: Active Grant

• Current Assignee: Reactivecore LLC
• Original Assignee: Reactivecore LLC
• Inventors: Agnew, Paul, Davies, Neena, Dufresne, Michel
• Primary Examiner(s): Khatri, Anil
• Application Number:
  US15/847,274
• Publication Number:
  US 20180173518A1
• Time in Patent Office: 567 Days
• Field of Search: 717168-178
• CPC Class Codes: G06F 8/20 Software design
• CPC Class Codes: G06F 8/36 Software reuse
• CPC Class Codes: G06F 8/65 Updates security arrangements therefor G06F21/57
• CPC Class Codes: G06N 5/00 Computing arrangements using knowledge-based models
• CPC Class Codes: G06N 5/025 Extracting rules from data
• CPC Class Codes: G06Q 10/101 Collaborative creation, e.g. joint development of products or services

Abstract

Supplemental functionalities may be provided to an executable program via the ontology, for example, without having to modify the application code of the executable program or without having to recompile the executable program. In some embodiments, objects may be extracted from a collection of documents. The objects may be converted to one or more data sets having a pre-defined format. One or more relationships between the data sets may be defined. An ontology may be generated based on the data sets and the relationships. Supplemental information may be generated for an executable program based on the ontology. The supplemental information may be related to one or more functionalities of an application. The supplemental information may be provided as input to the executable program, where the supplemental information causes the functionalities of the application be made available via the executable program.

Claims

1. A method of creating an ontology from document-extracted objects and providing supplemental functionalities to an executable program via the ontology, the method being implemented by a computer system that includes one or more physical processors executing computer program instructions that, when executed, perform the method, the method comprising:

extracting objects from a collection of documents;

converting the objects to one or more data sets having a pre-defined format;

defining one or more relationships between the one or more data sets;

generating an ontology based on (i) the one or more data sets and (ii) the one or more relationships;

generating, based on the generated ontology, supplemental information for an executable program, wherein the supplemental information is related to one or more functionalities of an application to be added to the executable program;

providing the supplemental information as input to the executable program, wherein the supplemental information, at least in part, causes the one or more functionalities of the application be made available via the executable program;

updating the ontology based on (i) one or more additional data sets and (ii) one or more additional relationships to generate an updated version of the ontology such that subsequent supplemental information derived from the updated version of the ontology is related to one or more additional application functionalities, the one or more additional application functionalities not being in the supplemental information generated based on an older version of the ontology;

generating, based on the updated version of the ontology, the subsequent supplemental information for the executable program, wherein the subsequent supplemental information is related to the one or more additional application functionalities to be added to the executable program; and

providing the subsequent supplemental information as input to the executable program, wherein the subsequent supplemental information, at least in part, causes the one or more additional application functionalities to be made available via the executable program.

2. The method of claim 1, wherein the one or more functionalities are made available via the executable program without recompiling the executable program.

3. The method of claim 1, wherein the collection of documents includes business logic that defines at least one of the one or more functionalities associated with the application.

4. The method of claim 1, wherein the objects include business rules, business definitions, constraints, data points, data models, or relationships embedded in documents of the collection.

5. The method of claim 1, wherein defining the one or more relationships comprises performing, based on one or more natural language processing libraries, natural language processing on the one or more data sets to define the one or more relationships between the one or more data sets.

6. The method of claim 1, further comprising:

cleansing the one or more data sets to remove one or more naming conventions.

7. The method of claim 1, further comprising:

extracting additional objects from additional documents;

converting the additional objects to the one or more additional data sets such that the one or more additional data sets have the pre-defined format,

wherein the one or more additional relationships are defined between the one or more data sets or the one or more additional data sets.

8. The method of claim 7, further comprising:

selecting the one or more additional data sets to be used to update the ontology, the selection of the one or more additional data sets being based on a determination that aspects of the one or more additional data sets are not represented in the ontology.

9. The method of claim 8, further comprising:

extracting further objects from the additional documents; and

converting the further objects to one or more further data sets having the pre-defined format,

wherein, based on a determination that aspects of the one or more further data sets are represented in the ontology, the one or more further data sets are not selected for use in updating the ontology.

10. The method of claim 1, wherein the executable program obtains the supplemental information from working memory at runtime.

11. A system for creating an ontology from document-extracted objects and providing supplemental functionalities to an executable program via the ontology, the system comprising:

a computer system that includes one or more physical processors programmed with computer program instructions that, when executed, cause the computer system to;

extract objects from a collection of documents;

convert the objects to one or more data sets having a pre-defined format;

define one or more relationships between the one or more data sets;

generate an ontology based on (i) the one or more data sets and (ii) the one or more relationships;

generate, based on the generated ontology, supplemental information for an executable program, wherein the supplemental information is related to one or more functionalities of an application to be added to the executable program;

provide the supplemental information as input to the executable program, wherein the supplemental information, at least in part, causes the one or more functionalities of the application be made available via the executable program;

update the ontology based on (i) one or more additional data sets and (ii) one or more additional relationships to generate an updated version of the ontology such that subsequent supplemental information derived from the updated version of the ontology is related to one or more additional application functionalities, the one or more additional application functionalities not being in the supplemental information generated based on an older version of the ontology;

generate, based on the updated version of the ontology, the subsequent supplemental information for the executable program, wherein the subsequent supplemental information is related to the one or more additional application functionalities to be added to the executable program; and

provide the subsequent supplemental information as input to the executable program, wherein the subsequent supplemental information, at least in part, causes the one or more additional application functionalities to be made available via the executable program.

12. The system of claim 11, wherein the one or more functionalities are made available via the executable program without recompiling the executable program.

13. The system of claim 11, wherein the collection of documents includes business logic that defines at least one of the one or more functionalities associated with the application.

14. The system of claim 11, wherein the objects include business rules, business definitions, constraints, data points, data models, or relationships embedded in documents of the collection.

15. The system of claim 11, wherein defining the one or more relationships comprises performing, based on one or more natural language processing libraries, natural language processing on the one or more data sets to define the one or more relationships between the one or more data sets.

16. The system of claim 11, wherein the computer system is further caused to:

cleanse the one or more data sets to remove one or more naming conventions.

17. The system of claim 11, wherein the computer system is further caused to:

extract additional objects from additional documents;

convert the additional objects to the one or more additional data sets such that the one or more additional data sets have the pre-defined format,

wherein the one or more additional relationships are defined between the one or more data sets or the one or more additional data sets.

18. The system of claim 17, wherein the computer system is further caused to:

select the one or more additional data sets to be used to update the ontology, the selection of the one or more additional data sets being based on a determination that aspects of the one or more additional data sets are not represented in the ontology.

19. The system of claim 18, wherein the computer system is further caused to:

extract further objects from the additional documents; and

convert the further objects to one or more further data sets having the pre-defined format,

wherein, based on a determination that aspects of the one or more further data sets are represented in the ontology, the one or more further data sets are not selected for use in updating the ontology.

20. The system of claim 11, wherein the executable program obtains the supplemental information from working memory at runtime.