- Patent Title: Knowledge-driven federated big data query and analytics platform
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Application No.: US16282643Application Date: 2019-02-22
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Publication No.: US10997187B2Publication Date: 2021-05-04
- Inventor: Kareem Sherif Aggour , Paul Cuddihy , Vijay Shiv Kumar , Jenny Marie Weisenberg Williams , Anthony Joseph Vinciquerra
- Applicant: General Electric Company
- Applicant Address: US NY Schenectady
- Assignee: General Electric Company
- Current Assignee: General Electric Company
- Current Assignee Address: US NY Schenectady
- Agency: Dinsmore & Shohl LLP
- Main IPC: G06F16/2458
- IPC: G06F16/2458 ; G06F16/907 ; G06F16/9038 ; G06N20/00 ; G06F16/25 ; G06N5/02

Abstract:
A system for querying a federated data store includes a metadata knowledge graph describing the contents and relationships among one or more underlying data stores, an interactive user interface receiving requests from a data consumer, a predefined constrainable query (‘nodegroup’) store containing predefined constrainable queries that define data subsets of interest across one or more of the underlying data repositories, a knowledge-driven querying layer generating and executing queries against the federated data store and merging responsive results, a scalable analytic execution layer receiving the search results from the federated data store and applying machine learning/artificial intelligence techniques to analyze the results, and a user interface presenting visualizations of raw or analyzed results to the consumer. A method and a non-transitory computer-readable medium are also disclosed.
Public/Granted literature
- US20200272623A1 KNOWLEDGE-DRIVEN FEDERATED BIG DATA QUERY AND ANALYTICS PLATFORM Public/Granted day:2020-08-27
Information query