Machine learning system for automated attribute name mapping between source data models and destination data models
US11977524B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Dec 9, 2022 |
| Grant date | May 7, 2024 |
| Priority date | — |
| Expiry date | Dec 9, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG16H40/20
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A computer-implemented method of mapping attribute names of a source data model to a destination data model includes processing one or more source attribute names from the source data model and one or more destination attribute names of the destination data model to obtain standardized attribute names. The method includes determining whether any of the source attribute names have an existing entry in a custom dictionary. The method includes, for each source attribute name that has an existing entry in the custom dictionary, recording an output mapping for the source attribute name according to the existing entry in the custom dictionary. The method includes, for each source attribute name that does not have an existing entry in the custom dictionary, using a machine learning model to predict the mapping of each source attribute name to a corresponding one of the destination attribute names.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.