- Patent Title: Knowledge-driven federated big data query and analytics platform
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Application No.: US16282684Application Date: 2019-02-22
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Publication No.: US10963518B2Publication Date: 2021-03-30
- 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: Buckley, Maschoff & Talwalkar LLC
- Main IPC: G06F16/9038
- IPC: G06F16/9038 ; G06F16/2458 ; G06F16/907 ; G06N5/00

Abstract:
A system to generate and run federated queries against a plurality of data stores storing disparate data types, the system including a user interface receiving query details from a data consumer, a metadata knowledge graph containing metadata for links and relationships of the data stores, a knowledge-driven querying layer accessing the graph and selecting predefined constrainable queries from a nodegroup store and applying the metadata links/relationships to the predefined constrainable queries to assemble subqueries, a query and analysis platform providing the subqueries to some of the data stores for execution, a scalable analytic execution layer receiving and aggregating search results from the data stores into a merged search result and/or obtaining analytic results by applying machine learning and artificial intelligence techniques to the distributed data, the user interface presenting visualizations generated from the merged search results, and/or the analytic results. A system and a non-transitory computer-readable medium are also disclosed.
Public/Granted literature
- US20200272664A1 KNOWLEDGE-DRIVEN FEDERATED BIG DATA QUERY AND ANALYTICS PLATFORM Public/Granted day:2020-08-27
Information query