System and method for ontology induction through statistical profiling and reference schema matching
US10620924B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Aug 22, 2017 |
| Grant date | Apr 14, 2020 |
| Priority date | — |
| Expiry date | Aug 22, 2037 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F9/5061
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
In accordance with various embodiments, described herein is a system (Data Artificial Intelligence system, Data AI system), for use with a data integration or other computing environment, that leverages machine learning (ML, DataFlow Machine Learning, DFML), for use in managing a flow of data (dataflow, DF), and building complex dataflow software applications (dataflow applications, pipelines). In accordance with an embodiment, the system can perform an ontology analysis of a schema definition, to determine the types of data, and datasets or entities, associated with that schema; and generate, or update, a model from a reference schema that includes an ontology defined based on relationships between datasets or entities, and their attributes. A reference HUB including one or more schemas can be used to analyze data flows, and further classify or make recommendations such as, for example, transformations enrichments, filtering, or cross-entity data fusion of an input data.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.