Invention Grant
- Patent Title: Metadata-based scientific data characterization driven by a knowledge database at scale
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Application No.: US16527546Application Date: 2019-07-31
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Publication No.: US11494611B2Publication Date: 2022-11-08
- Inventor: Renan Francisco Santos Souza , Reinaldo Mozart da Gama e Silva , Rodrigo da Silva Ferreira , Emilio Ashton Vital Brazil , Viviane Torres da Silva
- Applicant: International Business Machines Corporation
- Applicant Address: US NY Armonk
- Assignee: International Business Machines Corporation
- Current Assignee: International Business Machines Corporation
- Current Assignee Address: US NY Armonk
- Agency: McGinn I.P. Law Group, PLLC.
- Agent Joseph Petrokaitis, Esq.
- Main IPC: G06N3/04
- IPC: G06N3/04 ; G06F16/242 ; G06F16/2455 ; G06F16/2457 ; G06F16/14
Abstract:
A metadata-based scientific data characterization method, system, and computer program product include requesting a user input for a task to specify a rule for the task to determine a quality and a relationship of a data file in a data file database based on metadata associated with the data file, processing a user feedback of results using the rule run on the data file database and tracking the user feedback on the results in order to learn from the user feedback, and based on the learning, creating a modified rule to determine a quality and a relationship of a second data file.
Public/Granted literature
- US20210034948A1 METADATA-BASED SCIENTIFIC DATA CHARACTERIZATION DRIVEN BY A KNOWLEDGE DATABASE AT SCALE Public/Granted day:2021-02-04
Information query
