Systems and methods for a metadata driven integration of chatbot systems into back-end application services

Patent metadata

Field	Value
Publication number	US-11637792-B2
Application number	US-201916598901-A
Country	US
Kind code	B2
Filing date	Oct 10, 2019
Priority date	Apr 19, 2019
Publication date	Apr 25, 2023
Grant date	Apr 25, 2023

Abstract

The present disclosure generally relates to systems and methods for efficiently and dynamically integrating a chatbot into an application service. More specifically, the present disclosure relates to systems and methods that dynamically build custom components that enable the chatbot to communicate and facilitate the use of the application service directly from the chatbot application. Accordingly, the systems and methods described herein provide the benefit of integrating the chatbot application into an application service without having the application developer write code for the integration, thereby enhancing the computational efficiency of the integration and the reliability of the application service when new services or service functionality are added or modified.

First claim

What is claimed is:

1. A computer-implemented method comprising:
accessing a database that stores metadata associated with an application, the application being configured to perform one or more services, and the metadata indicating, for each service of the one or more services, one or more input parameters for invoking the service;
executing a component builder class configured to automatically generate one or more custom components for each service of the one or more services, wherein each custom component of the one or more custom components is configured to enable a chatbot application to interact with a corresponding service of the one or more services during a dialogue flow between an end user and the chatbot application, wherein the chatbot application is configured to receive input in a first defined format and the service is invoked by one or more input parameters for the service in a second defined format;
in response to executing the component builder class, loading the metadata;
identifying, from the metadata, each service of the one or more services;
for each service of the one or more services:
identifying, from the metadata, each input parameter of the one or more input parameters for the service; and
automatically generating, using the one or more input parameters for the service and at least one object included in the metadata, at least one custom component for the service, wherein the at least one custom component defines at least one function corresponding to the at least one object and performable by the service and one or more actions performable by the chatbot application, the one or more actions corresponding to the at least one function;
embedding the at least one custom component into the dialogue flow of the chatbot application;

receiving input for invoking a particular service of the one or more services of the application using the chatbot application, the input comprising one or more particular input parameters in the first defined format; and
executing, by the chatbot application, the at least one custom component generated for the particular service to transform the one or more particular parameters from the first defined format into the second defined format.

2. The computer-implemented method of claim 1 , wherein the at least one custom component for the particular service enables the chatbot application to communicate with the one or more services of the application.

3. The computer-implemented method of claim 1 , wherein the particular service is invoked in response to receiving a command from the end user operating the chatbot application.

4. The computer-implemented method of claim 1 , further comprising:
building a payload based on the one or more input parameters included in the metadata;
invoke the particular service using the payload;
receiving an output parameter from the particular service;
storing the output parameter as a conversation variable;
setting a result state as returned by the particular service; and
executing a function to display, using the chatbot application, the conversation variable to the end user.

5. The computer-implemented method of claim 1 , wherein the one or more input parameters include a set of input parameters, and wherein the particular service can be invoked using a subset of the set of input parameters.

6. The computer-implemented method of claim 1 , wherein the chatbot application receives the input in the first defined format from the end user.

7. The computer-implemented method of claim 1 , wherein transforming the one or more particular parameters from the first defined format into the second defined format is performed by executing a component service corresponding to the at least one custom component generated for the particular service.

8. A system, comprising:
one or more data processors; and
a non-transitory computer-readable storage medium containing instructions which, when executed on the one or more data processors, cause the one or more data processors to perform operations including:
accessing a database that stores metadata associated with an application, the application being configured to perform one or more services, and the metadata indicating, for each service of the one or more services, one or more input parameters consumed by the service;
executing a component builder class configured to automatically generate one or more custom components for each service of the one or more services, wherein each custom component of the one or more custom components is configured to enable a chatbot application to interact with a corresponding service of the one or more services during a dialogue flow between an end user and the chatbot application, wherein the chatbot application is configured to receive input in a first defined format and the service is invoked by one or more input parameters for the service in a second defined format;
in response to executing the component builder class, loading the metadata;
identifying, from the metadata, each service of the one or more services;
for each service of the one or more services:
identify each input parameter of the one or more input parameters for the service; and
automatically generating, using the one or more input parameters for the service and at least one object included in the metadata, at least one custom component for the service, wherein the at least one custom component defines at least one function corresponding to the at least one object and performable by the service and one or more actions performable by the chatbot application, the one or more actions corresponding to the at least one function;
embedding the at least one custom component into the dialogue flow of the chatbot application;

receiving input for invoking a particular service of the one or more services of the application using the chatbot application, the input comprising one or more particular input parameters in the first defined format; and
executing, by the chatbot application, the at least one custom component generated for the particular service to transform the one or more particular parameters from the first defined format into the second defined format.

9. The system of claim 8 , wherein the at least one custom component for the particular service enables the chatbot application to communicate with the database associated with the application.

10. The system of claim 8 , wherein the particular service is invoked in response to receiving a command from the end user operating the chatbot application.

11. The system of claim 8 , further comprising:
building a payload based on the one or more input parameters included in the metadata;
invoke the particular service using the payload;
receiving an output parameter from the particular service;
storing the output parameter as a conversation variable;
setting a result state as returned by the particular service; and
executing a function to display, using the chatbot application, the conversation variable to the end user.

12. The system of claim 8 , wherein the one or more input parameters include a set of input parameters, and wherein the particular service can be invoked using a subset of the set of input parameters.

13. The system of claim 8 , wherein the chatbot application receives the input in the first defined format from the end user.

14. The system of claim 8 , wherein transforming the one or more particular parameters from the first defined format into the second defined format is performed by executing a component service corresponding to the at least one custom component generated for the particular service.

Assignees

• Oracle Int Corp

Inventors

• John Jeevan Selvan Job
• Gupta Mudit
• Jose Aswin

Classifications

• H04L67/51

  Discovery or management thereof, e.g. service location protocol [SLP] or web services · CPC title

• H04L51/046

  Interoperability with other network applications or services · CPC title

• H04L67/133

  Protocols for remote procedure calls [RPC] · CPC title

• H04L51/02 Primary

  using automatic reactions or user delegation, e.g. automatic replies or chatbot-generated messages · CPC title