US 11,308,044 B2Granted

Rule based decisioning on metadata layers

AssigneeAmerican Express Travel Related Services Company, Inc.

InventorsVineet Agrwal, Ravi Arasan, Atul R. Dalmia, Pratiksha M. Jogani, Kunal C. Joshi, Ravi Kaushik, Himanshu Prabhakar, Kandarp Srivastava

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Abstract

The process includes receiving a data set comprising a plurality of rows and a plurality of columns, and applying a first rule based decisioning to the data set to generate a first layer of metadata that comprises at least one of a key, a type indicator, a categorical indicator, and/or a continuous indicator. The first layer of metadata may be descriptive of the data set. The processor may further apply a second rule based decisioning to the first layer to generate a second layer that includes at least one of the key, the type indicator, the categorical indicator, or the continuous indicator. The second layer may be descriptive of the first layer. The process may also include generating an output file from at least one of the first layer or the second layer.

Claims20

Dependent claims

A method comprising:

generating, by a processor, a numerical indicator for a portion of a first layer of metadata of a data set based at least in part on a first rule based decisioning determining that the portion of the first layer of metadata includes numerical data;
applying, by the processor, a second rule based decisioning to the first layer of metadata to generate a second layer of metadata, wherein the second layer of metadata comprises the numerical indicator and a numeric analysis for the portion of the first layer of the metadata that includes the numerical data;
generating, by the processor, a third layer of metadata by collating the first layer of metadata and the second layer of metadata into a table for a file, wherein the first layer of metadata and the second layer of metadata collated in an order in which the first layer of metadata and the second layer of metadata were generated, and the third layer of metadata comprises derived data that is generated from a combination of the first layer of metadata and the second layer of metadata;
determining, by the processor, to generate a fourth layer of metadata based at least in part on the third layer of metadata;
executing, by the processor, a function call based at least in part on an input of the third layer of metadata, wherein the third layer of metadata is inputted to the function call in response to the determination to generate the fourth layer of metadata, and the function call generates the fourth layer of metadata;
and
generating, by the processor, an output file based at least in part on the fourth layer of metadata.

4 more elements

A computer-based system, comprising:

a computing device that comprises a processor, and
a memory configured to communicate with the processor, the memory having instructions stored thereon that, in response to execution by the processor, cause the computing device to at least:
generate a numerical indicator for a portion of a first layer of metadata of a data set based at least in part on a first rule based decisioning determining that the portion of the first layer of metadata includes numerical data;
apply a second rule based decisioning to the first layer of metadata to generate a second layer of metadata, wherein the second layer of metadata comprises the numerical indicator and a numeric analysis for the portion of the first layer of the metadata that includes the numerical data;
generate a third layer of metadata by collating the first layer of metadata and the second layer of metadata into a table for a file, wherein the first layer of metadata and the second layer of metadata collated in an order in which the first layer of metadata and the second layer of metadata were generated, the third layer of metadata comprises derived data that is generated from a combination of the first layer of metadata and the second layer of metadata;
determine to generate a fourth layer of metadata based at least in part on the third layer of metadata;
execute a function call based at least in part on an input of the third layer of metadata, wherein the third layer of metadata is inputted to the function call in response to the determination to generate the fourth layer of metadata, and the function call generates the fourth layer of metadata;
and
generate an output file based at least in part on the fourth layer of metadata.

6 more elements

A non-transitory computer medium having instructions executable in a computing device, wherein, when executed, the instructions cause the computing device to at least:

generate a numerical indicator for a portion of a first layer of metadata of a data set based at least in part on a first rule based decisioning determining that the portion of the first layer of metadata includes numerical data;
apply a second rule based decisioning to the first layer of metadata to generate a second layer of metadata, wherein the second layer of metadata comprises the numerical indicator and a numeric analysis for the portion of the first layer of the metadata that includes the numerical data;
generate a third layer of metadata by collating the first layer of metadata and the second layer of metadata into a table for a file, wherein the first layer of metadata and the second layer of metadata collated in an order in which the first layer of metadata and the second layer of metadata were generated, and the third layer of metadata comprises derived data that is generated from a combination of the first layer of metadata and the second layer of metadata;
determine to generate a fourth layer of metadata based at least in part on the third layer of metadata;
execute a function call based at least in part on an input of the third layer of metadata, wherein the third layer of metadata is inputted to the function call in response to the determination to generate the fourth layer of metadata, and the function call generates the fourth layer of metadata;
and
generate an output file based at least in part on the fourth layer of metadata.

4 more elements

Dependencies are inferred from the claim text.

Facts

Application: 15/910,135Filed 2 Mar 2018 · continuation
Priority: 14 Jul 2015
Published: US 2018/0189329 A15 Jul 2018
Granted: 19 Apr 2022
Term ends: Not estimatedThe source records don’t support an estimate.

Classification2 codes

G06F 16/21
Of structured data, e.g. relational data: design, administration or maintenance of databases
G06F
Computing and data processing

Family

Application14/799,293Parent of this continuation · filed 14 Jul 2015
US 2018/0189329 A1Pre-grant publication · published 5 Jul 2018
US 9,934,257 B2Parent of this continuation
US 2017/0017678 A1Published application
US 11,308,044 B2This patent

From the US filing history. Foreign family members aren’t listed.

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