The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Nov. 04, 2025

Filed:

Sep. 26, 2022
Applicant:

Siemens Schweiz Ag, Zürich, CH;

Inventors:

Swathi Shyam Sunder, Bengaluru, IN;

Nataliia Rümmele, St. Pölten, AT;

Tobias Aigner, Munich, DE;

Yogesh Kamath, Karnataka, IN;

Rani Joseph, Bangalore, IN;

Yogesh Borkhade, Karnataka, IN;

Prithvi Raj Ramakrishnaraja, Secundrabad, IN;

Assignee:

Siemens Schweiz AG, Zürich, CH;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 16/353 (2025.01); G06F 16/332 (2025.01); G06F 16/36 (2019.01);
U.S. Cl.
CPC ...
G06F 16/353 (2019.01); G06F 16/3326 (2019.01); G06F 16/367 (2019.01);
Abstract

A system and method for data management is provided. The method includes obtaining a dataset from a data source by a processing unit. The dataset includes a plurality of datapoints, and each of the datapoints belongs to a column among a plurality of columns. Further, an ontology label for at least one column in the dataset is predicted using a machine learning model. The predicted ontology label is associated with an ontology comprising a plurality of ontology labels. Further, a mapping between the dataset and the ontology is generated based on the relation between the predicted ontology label and the column. Furthermore, the datapoints are classified with respect to the ontology labels based on the mapping generated. The classified datasets are outputted on a user interface.


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