Application program interface analyzer for a universal interaction platform

• US 10,353,754 B2
• Filed: 12/31/2015
• Issued: 07/16/2019
• Est. Priority Date: 12/31/2015
• Status: Active Grant

• Current Assignee: Entefy Inc.
• Original Assignee: Entefy Inc.
• Inventors: Ghafourifar, Alston, Greenberg, Philip Nathan, Achtman, Neil
• Primary Examiner(s): Mudrick, Timothy A
• Assistant Examiner(s): Seye, Abdou K
• Application Number:
  US14/986,157
• Publication Number:
  US 20170192827A1
• Time in Patent Office: 1,293 Days
• CPC Class Codes: G06F 2209/5015 Service provider selection
• CPC Class Codes: G06F 40/40 Processing or translation of natural language natural language analysis G06F40/20; semantic analysis G06F40/30
• CPC Class Codes: G06F 9/5027 the resource being a machine, e.g. CPUs, Servers, Terminals
• CPC Class Codes: G06F 9/541 via adapters, e.g. between incompatible applications
• CPC Class Codes: G06F 9/543 User-generated data transfer, e.g. clipboards, dynamic data exchange [DDE], object linking and embedding [OLE]

Abstract

An application program interface (API) analyzer that determines protocols and formats to interact with a service provider or smart device. The API analyzer identifies an API endpoint or web sites for the service provider or smart device, determines a service category or device category, selects a category-specific corpus, forms a service-specific or device-specific corpus by appending information regarding the service provider or smart device to the category-specific corpus, and parses API documentation or the websites.

Claims

1. A computer-implemented method of determining protocols and formats to interact with a service provider or smart device via an application program interface (API), the method comprising:

identifying an API endpoint for the service provider or smart device;

determining a service category or device category for the service provider or smart device;

selecting a category-specific corpus based on the service category or device category;

parsing API documentation to determine functions available via the API and parameters required to request the functions available via the API;

prompting a user to map one or more natural language expressions to one or more of the functions and parameters; and

forming a service-specific or device-specific corpus by appending the category-specific corpus to include the functions available via the API, the parameters required to request the functions, and the one or more natural language expressions mapped to the functions and parameters by the user.

2. The method of claim 1, wherein the API endpoint and the service category or device category are determined based on user input.

3. The method of claim 1, further comprising:

prompting the user to manually input information regarding the service provider or smart device; and

appending the information manually input by the user to the service-specific or device-specific corpus.

4. The method of claim 1, further comprising:

determining relationships between words or phrases included in the API documentation;

prompting the user to validate the relationships between the words or phrases included in the API documentation; and

appending the service-specific or device-specific corpus based on the user validation.

5. The method of claim 1, further comprising:

identifying, by an API analyzer, one or more additional functions and parameters or one or more additional natural language expressions; and

mapping, ny the API analyzer, the one or more additional functions and parameters parameters to the one or more natural language expressions;

or

mapping, by the API analyzer, the one or more functions and parameters to the one or more additional natural language expressions.

6. The method of claim 5, further comprising:

prompting the user to validate the mappings of the API analyzer.

7. An application program interface (API) analyzer, comprising:

one or more storage devices that store a plurality of category-specific corpuses;

a user-interface;

one or more processing units that;

identify an API endpoint for a service provider or smart device;

determine a service category or device category for the service provider or smart device;

select one of the category-specific corpuses based on the service category or device category;

parse API documentation to determine functions available via the API and parameters required to request the functions available via the API;

prompt a user to map one or more of the functions and parameters to one or more natural language expressions;

forming a service-specific or device-specific corpus by appending the category-specific corpus to include the functions available via the API, the parameters required to request the functions, and the one or more natural language expressions mapped to the functions and parameters by the user; and

store the service-specific or device-specific corpus in the one or more storage devices.

8. The API analyzer of claim 7, wherein the one or more processing units:

prompt the user to manually input information regarding the service provider or smart device via the user-interface;

append the information manually input by the user to the service-specific or device-specific corpus;

determine relationships between words or phrases included in the API documentation;

prompt the user to validate the relationships between the words or phrases included in the API documentation via the user-interface; and

append the service-specific or device-specific corpus based on the user validation.

9. The API analyzer of claim 7, wherein the one or more processing units:

identify one or more additional functions and parameters or one or more additional natural language expressions; and

map the one or more additional functions and parameters to the one or more natural language expressions or map the one or more functions and parameters to the one or more additional natural language expressions; and

prompt the user to validate the mappings of the one or ore processing units.

10. A non-transitory computer readable storage medium (CRSM) comprising computer executable instructions stored thereon to cause one or more processing units to:

identify an application program interface (API) endpoint for a service provider or smart device;

determine a service category or device category for the service provider or smart device;

select a category-specific corpus based on the service category or device category;

parse API documentation to determine functions available via the API and parameters required to request the functions available via the API;

promoting a user to map one or more natural language expressions to one or more of the functions and parameters; and

form a service-specific or device-specific corpus by appending the category-specific corpus to include the functions available via the API, the parameters required to request the functions, and the one or more natural language expressions mapped to the functions and parameters by the user.

11. The CRSM of claim 10, wherein the API endpoint and the service category or device category are determined based on user input.

12. The CRSM of claim 10, wherein the instructions further cause the one or more processing units to:

prompt the user to manually input information regarding the service provider or smart device; and

append the information manually input by the user to the service-specific or device-specific corpus.

13. The CRSM of claim 10, wherein the instructions further cause the one or more processing units to:

determine relationships between words or phrases included in the API documentation;

prompt the user to validate the relationships between the words or phrases included in the API documentation; and

append the service-specific or device-specific corpus based on the user validation.

14. The CRSM of claim 10, wherein the instructions further cause the one or more processing units to map the functions and parameters to natural language expressions by:

identifying one or more additional functions and parameters or one or more additional natural language expressions; and

mapping the one or more additional functions and parameters to one or more of the natural language expressions or mapping the one or more functions and parameters to the one or more additional natural language expressions.

15. The CRSM of claim 10, wherein the instructions further cause the one or more processing units to:

prompt the user to validate the mappings of the one or more processing units.

16. A non-transitory computer readable storage medium (CRSM) comprising computer executable instructions stored thereon to cause one or more processing units to:

identify service provider websites;

determine a service category for the service provider;

select a category-specific corpus based on the service category;

parse the service provider websites to extract objects that include meaningful information regarding the service provider or services offered by the service provider;

categorize each of the extracted objects by comparing the extracted objects to a database of known data types, structures, and/or keywords and associating each of the extracted objects with a category;

map each of the extracted objects to one or more queries;

prompt a user to map each of the one or more queries to one or more natural language expressions; and

form a service-specific corpus by appending the category-specific corpus to include the extracted objects, the one or more queries mapped to each of the extracted objects, and the one or more natural language expressions mapped to each of the one or more queries.

17. The CRSM of claim 16, wherein the service provider websites are determined based on user input.

18. The CRSM of claim 16, wherein the instructions further cause the one or more processing units to prompt the user validate the categorization of each of the extracted objects.

19. The CRSM of claim 16, wherein the instructions cause the one or more processing units to map one or more additional queries or one or more additional natural language expressions by:

identifying one or more additional queries or one or more additional natural language expressions;

mapping the one or more additional queries to the one or more natural language expressions or mapping the one or more queries to the one or more additional natural language expressions.

20. The CRSM of claim 16, wherein the instructions further cause the one or more processing units to:

prompt the user to validate the mappings of the one or more processing units.