Invention Grant
- Patent Title: System and method for ontology induction through statistical profiling and reference schema matching
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Application No.: US16845738Application Date: 2020-04-10
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Publication No.: US11537370B2Publication Date: 2022-12-27
- Inventor: Alexander Sasha Stojanovic , Hassan Heidari Namarvar , David Allan , Ganesh Seetharaman
- Applicant: ORACLE INTERNATIONAL CORPORATION
- Applicant Address: US CA Redwood Shores
- Assignee: ORACLE INTERNATIONAL CORPORATION
- Current Assignee: ORACLE INTERNATIONAL CORPORATION
- Current Assignee Address: US CA Redwood Shores
- Agency: Tucker Ellis LLP
- Main IPC: G06F8/41
- IPC: G06F8/41 ; G06N20/00 ; G06F16/14 ; G06F16/21 ; G06F16/25 ; G06F16/435 ; G06F16/23 ; G06N5/04 ; G06Q10/06 ; G06F40/30 ; G06F3/0482 ; G06F17/18 ; G06N5/02 ; G06F8/10 ; G06F8/34 ; G06F3/042 ; G06F3/06 ; G06F9/50

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.
Public/Granted literature
- US20200241854A1 SYSTEM AND METHOD FOR ONTOLOGY INDUCTION THROUGH STATISTICAL PROFILING AND REFERENCE SCHEMA MATCHING Public/Granted day:2020-07-30
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