US 2026/0065138 A1Published application

Systems and methods for linking data elements used by different services

OwnerShankaranarayanan KALYANARAMAN, John ZIMNOX +3inventors

InventorsShankaranarayanan KALYANARAMAN, John ZIMNOX, Mark MORAWSKI, Amit CHAND, Vish V PATIL

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Abstract

A method may include: collecting application programming interface (API) datasets, each API dataset identifying data elements used by the API, descriptions of the data elements, and datatypes for the data elements; splitting the API datasets into a training API dataset and a validation API dataset; labeling the data elements in the training API dataset using standard data elements that are defined by an organization for use by the organization; training a machine learning model with the training API dataset and the labels, wherein the machine learning model is trained to match the data elements to the standard data element; and integrating the machine learning model into a workflow, The machine learning model matches a non-standard data element in a new API dataset to one of the standard data elements. A downstream system uses the non-standard data element in the same manner as the matching standard data element.

Claims20

Dependent claims

A method, comprising:

collecting, by a computer program executed by an electronic device, a plurality of application programming interface (API) datasets, each API dataset identifying data elements used by the API, descriptions of the data elements, and datatypes for the data elements;
splitting, by the computer program, the API datasets into a training API dataset and a validation API dataset;
labeling, by the computer program, the data elements in the training API dataset using standard data elements, wherein the standard data elements are defined by an organization for use by the organization;
training, by the computer program, a machine learning model with the training API dataset and the labels, wherein the machine learning model is trained to match the data elements to the standard data element;
evaluating, by the computer program, the machine learning model using the validation API dataset;
and
integrating, by the computer program, the machine learning model into a workflow, wherein the machine learning model is configured to match a non-standard data element in a new API dataset to one of the standard data elements;
wherein a downstream system is configured to use the non-standard data element in the same manner as the matching standard data element.

5 more elements

A non-transitory computer readable storage medium, including instructions stored thereon, which when read and executed by one or more computer processors, cause the one or more computer processors to perform steps comprising:

collecting a plurality of application programming interface (API) datasets, each API dataset identifying data elements used by the API, descriptions of the data elements, and datatypes for the data elements, wherein the API datasets are collected from a plurality of different industries;
splitting the API datasets into a training API dataset and a validation API dataset;
labeling the data elements in the training API dataset using standard data elements, wherein the standard data elements are defined by an organization for use by the organization;
training a machine learning model with the training API dataset and the labels to match the data elements to the standard data element;
evaluating the machine learning model using the validation API dataset;
integrating the machine learning model into a workflow to match a non-standard data element in a new API dataset to one of the standard data elements;
and
using the non-standard data element in the same manner as the matching standard data element.

5 more elements

Dependencies are inferred from the claim text.