Machine learning system for automated attribute name mapping between source data models and destination data models
US11556508B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Jun 8, 2020 |
| Grant date | Jan 17, 2023 |
| Priority date | — |
| Expiry date | Feb 18, 2041 |
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 obtaining multiple source attribute names from the source data model, and obtaining multiple destination attribute names from the destination data model. The destination data model includes multiple attributes that correspond to attributes in the source data model having different attribute names. The method includes processing the obtained source attribute names and the obtained destination attribute names to standardize the attribute names according to specified character formatting, supplying the standardized attribute names to a machine learning network model to predict a mapping of each source attribute name to a corresponding one of the destination attribute names, and outputting, according to mapping results of the machine learning network model, an attribute mapping table indicating the predicted destination attribute name corresponding to each source attribute name.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.