Invention Grant
- Patent Title: Semantic layer generation
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Application No.: US16022678Application Date: 2018-06-28
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Publication No.: US12079180B2Publication Date: 2024-09-03
- Inventor: Dianne Wood
- Applicant: AtScale, Inc.
- Applicant Address: US CA San Mateo
- Assignee: AtScale, Inc.
- Current Assignee: AtScale, Inc.
- Current Assignee Address: US MA Boston
- Agency: Armis IP Law, LLC
- Main IPC: G06F7/00
- IPC: G06F7/00 ; G06F9/44 ; G06F16/21 ; G06F16/28 ; G06F16/84 ; G06N5/04

Abstract:
Techniques are presented for generating semantic layers that are used to facilitate data analyses of subject datasets. The semantic layers are generated from data analysis configurations that characterize analysis environments pertaining to the subject datasets rather than from subject dataset metadata that is associated with the subject datasets. Data analysis attributes are extracted from configuration content objects that codify the data analysis configurations. A set of rules are accessed to facilitate mapping of the data analysis attributes to semantic model metadata that constitute the semantic layers. Some of the generated semantic layers comprise virtual data models. The virtual data models and/or recommendations associated with implementation of the semantic layers are presented to users. Certain portions of the semantic layers and/or the configuration content objects may be modified (e.g., in accordance with the implementation recommendations) to facilitate use of the semantic layers when performing data analyses of the subject datasets.
Public/Granted literature
- US20200004848A1 SEMANTIC LAYER GENERATION Public/Granted day:2020-01-02
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