Invention Grant
- Patent Title: Generating and analyzing a data model to identify relevant data catalog data derived from graph-based data arrangements to perform an action
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Application No.: US17707896Application Date: 2022-03-29
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Publication No.: US11947529B2Publication Date: 2024-04-02
- Inventor: Tim Gasper , Juan Sequeda , Lydia Guarino , Sharon Brener , Jessica Lin
- Applicant: data.world, Inc.
- Applicant Address: US TX Austin
- Assignee: data.world, Inc.
- Current Assignee: data.world, Inc.
- Current Assignee Address: US TX Austin
- Agency: KOKKA & BACKUS, PC
- Main IPC: G06F16/242
- IPC: G06F16/242 ; G06F16/248 ; G06F16/25 ; G06F16/901 ; G06F21/62

Abstract:
Various embodiments relate generally to data science and data analysis, computer software and systems, and data-driven control systems and algorithms based on graph-based data arrangements, and, more specifically, to a computing platform configured to receive and analyze datasets to implement a data model with which to identify relevant data catalog data derived from graph-based data arrangements, whereby a processor may be configured to cause implementation of subsets of programmatic executable instructions based on relevant data catalog data, at least one example of which generates a concept interface portion adapted to an associated concept, among other things. In some examples, a method may include identifying attributes associated with data values linked to a conceptual entity, determining criteria data of a targeted application, selecting programmatic executable instructions based on the criteria data, and extracting data from a graph data arrangement as a function of the attributes, among other things.
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Information query