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US 12,608,350 B2Granted
AI-powered concept-driven visualization authoring
AssigneeMicrosoft Technology Licensing, LLC
InventorsBongshin Lee, Chenglong Wang, John Roger Thompson
Life of this patent
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Abstract
A method, computer program product, and computing system for processing a request to generate a visualization concerning a plurality of data concepts. A new data concept for the visualization is generated by transforming an existing data concept using a program synthesizer and a generative model. The visualization is rendered by processing a mapping of the new data concept to a visual channel of the visualization.
Claims8
A computer-implemented method, executed on a computing device, comprising:
- processing a request to generate a visualization concerning a plurality of data concepts, wherein each of the data concepts comprises related portions of data of a data set;
- generating a new data concept by transforming an existing data concept from the plurality of data concepts using a program synthesizer and a generative machine learning model, wherein generating the new data concept includes deriving the new data concept from the existing data concept using the generative machine learning model by:
- processing a natural language prompt concerning the new data concept using the generative machine learning model;
- providing a plurality of candidate data transformations from the generative machine learning model based on at least the natural language prompt and an author interaction history;
- generating a sample entry for each candidate data transformation of the plurality of candidate data transformations;
- and
- providing a representation of a process for generating the sample entry of each candidate data transformation by providing a code segment used to generate the sample entry of each candidate data transformation of the plurality of candidate data transformations;
- and
- generating a visualization of the new data concept by processing a mapping of the new data concept to a visual channel of the visualization of the new data concept for rendering.
6 more elements
A computing system comprising:
- a memory;
- and
- a processor configured to process a request to generate a visualization concerning a plurality of data concepts in a table, wherein each of the data concepts comprises related portions of data of a data set, to generate a new data concept from the plurality of data concepts for the visualization by deriving the new data concept from an existing data concept using a generative machine learning model, wherein deriving the new data concept includes:
- processing a natural language prompt concerning the new data concept using the generative machine learning model, providing a plurality of candidate data transformations from the generative machine learning model in response to processing the natural language prompt, generating a sample entry for each candidate data transformation of the plurality of candidate data transformations, providing a representation of a process for generating the sample entry of each candidate data transformation by providing a code segment used to generate the sample entry of each candidate data transformation of the plurality of candidate data transformations, and generating the new data concept by processing a selection of a candidate data transformation to transform the existing data concept, and to generate a visualization of the new data concept by processing a mapping of the new data concept to a visual channel of the visualization of the new data concept for rendering.
1 more element
A storage device for storing a computer program product residing on a computer readable medium having a plurality of instructions stored thereon which, when executed by a processor, cause the processor to perform operations comprising:
- processing a request to generate a visualization concerning a plurality of data concepts in a table, wherein each of the data concepts comprises related portions of data of a data set;
- generating a new data concept for the visualization by reshaping an existing data concept from the plurality of data concepts using a program synthesizer and a generative machine learning model, wherein generating the new data concept includes deriving the new data concept from the existing data concept using the generative machine learning model by:
- processing a natural language prompt concerning the new data concept using the generative machine learning model;
- providing a plurality of candidate data transformations from the generative machine learning model based on at least the natural language prompt and an author interaction history;
- generating a sample entry for each candidate data transformation of the plurality of candidate data transformations;
- and
- providing a representation of a process for generating the sample entry of each candidate data transformation by providing a code segment used to generate the sample entry of each candidate data transformation of the plurality of candidate data transformations;
- and
- generating a visualization of the new data concept by processing a mapping of the new data concept to a visual channel of the visualization of the new data concept for rendering.
6 more elements
Dependencies are inferred from the claim text.