# US 12,001,966 B2 · Generation of digital standards using machine-learning model > Agents: this data is available as JSON from the patentgrep API and MCP server — see https://patentgrep.com/llms.txt - Number: US 12,001,966 B2 - Document ID: US12001966B2 - Status: Granted - Kind: B2 - Application number: 18/193,147 - Filed: 2023-03-30 - Published: 2023-07-27 - Granted: 2024-06-04 - Earliest claimed: 2020-06-18 - Assignees: SAE International - Applicants: SAE International - Inventors: Divyesh Gaur; Uxue Zurutuza Dorronsoro; Anna Belova; Audra Ziegenfuss; Roshan Bhave - Web page: https://patentgrep.com/patent/US12001966B2 ## CPC - G06N 5/025: Extracting rules from data - G06F 16/31: Indexing; Data structures therefor; Storage structures - G06F 16/36: Creation of semantic tools, e.g. ontology or thesauri - G06F 18/214: Generating training patterns; Bootstrap methods, e.g. bagging or boosting - G06F 18/23: Clustering techniques - G06N 20/00: Machine learning - G06Q 10/10: Office automation; Time management - G06N: COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS - G06F: ELECTRIC DIGITAL DATA PROCESSING (computer systems based on specific computational models G06N) - G06Q: INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR ## Abstract One embodiment provides a method for generating a digital standard utilizing a trained machine-learning model, the method including: receiving an underlying standard; extracting conceptual units from the underlying standard; classifying, using at least one trained machine-learning model, at least a portion of the extracted conceptual units into one of a plurality of classification groups; storing the classified extracted conceptual units into a data repository as defined by the schema; displaying, within a user interface on a display of an information handling device, a digital standard in a format based upon the schema; and providing, within the user interface, search and filter functions allowing for finding information related to the digital standard. Other aspects are described and claimed. ## Claims ### Claim 1 A method for generating a digital standard utilizing a trained machine-learning model, the method comprising: receiving an underlying standard; extracting conceptual units from the underlying standard; classifying, using at least one trained machine-learning model, at least a portion of the extracted conceptual units into one of a plurality of classification groups, wherein each of the classification groups identifies a function of the extracted conceptual units, included within a given classification group, within the underlying standard; wherein the classifying comprises classifying conceptual units from the underlying standard based upon sections of a schema corresponding to a digital standard, wherein the schema identifies a format of the digital standard and provides for displaying digital standards consistently across digital standards; storing the classified extracted conceptual units into a data repository as defined by the schema thereby allowing an access technique to access and retrieve one of the classified extracted conceptual units upon a request to display a digital standard including the one of the classified extracted conceptual units; displaying, within a user interface on a display of an information handling device, a digital standard in a format based upon the schema, wherein the displaying comprises displaying a plurality of tabs within the user interface, each of the plurality of tabs corresponding to a different aspect of the digital standard, wherein the displaying comprises accessing conceptual units from the data repository corresponding to the digital standard and displaying the conceptual units in a format in accordance with the schema, and within one of the plurality of tabs corresponding to the classification of the conceptual units; and providing, within the user interface, search and filter functions allowing for finding information related to the digital standard. ### Claim 2 (depends on 1) The method of claim 1, wherein a conceptual unit comprises a unit of information contained within the underlying standard. ### Claim 3 (depends on 1) The method of claim 1, wherein the machine-learning model is trained utilizing annotated underlying standards. ### Claim 4 (depends on 1) The method of claim 1, comprising labeling, using the at least one trained machine-learning model, the extracted conceptual units with a sub-type of the function corresponding to a given extracted conceptual units. ### Claim 5 (depends on 1) The method of claim 1, wherein the conceptual units comprise at least one of sentences and table components. ### Claim 6 (depends on 1) The method of claim 1, wherein the classifying is based upon a context of a given extracted conceptual unit within the underlying standard. ### Claim 7 (depends on 1) The method of claim 1, wherein the classifying comprises identifying, utilizing expression patterns, attributes of extracted conceptual unit. ### Claim 8 (depends on 1) The method of claim 1, wherein the machine-learning model is trained utilizing patterns. ### Claim 9 (depends on 1) The method of claim 1, wherein the classifying comprises identifying, utilizing aliasing, extracted conceptual units representing information having similar attributes. ### Claim 10 (depends on 1) The method of claim 1, comprising refining the at least one trained machine-learning model utilizing subsequently classified extracted conceptual units. ### Claim 11 A system for generating a digital standard utilizing a trained machine-learning model, the system comprising: one or more processors; a memory device that stores instructions executable by the processor to: receive an underlying standard; extract conceptual units from the underlying standard; classify, using at least one trained machine-learning model, at least a portion of the extracted conceptual units into one of a plurality of classification groups, wherein each of the classification groups identifies a function of the extracted conceptual units, included within a given classification group, within the underlying standard; wherein the classifying comprises classifying conceptual units from the underlying standard based upon sections of a schema corresponding to a digital standard, wherein the schema identifies a format of the digital standard and provides for displaying digital standards consistently across digital standards; store the classified extracted conceptual units into a data repository as defined by the schema thereby allowing an access technique to access and retrieve one of the classified extracted conceptual units upon a request to display a digital standard including the one of the classified extracted conceptual units; display, within a user interface on a display of an information handling device, a digital standard in a format based upon the schema, wherein the displaying comprises displaying a plurality of tabs within the user interface, each of the plurality of tabs corresponding to a different aspect of the digital standard, wherein the displaying comprises accessing conceptual units from the data repository corresponding to the digital standard and displaying the conceptual units in a format in accordance with the schema, and within one of the plurality of tabs corresponding to the classification of the conceptual units; and provide, within the user interface, search and filter functions allowing for finding information related to the digital standard. ### Claim 12 (depends on 11) The system of claim 11, wherein a conceptual unit comprises a unit of information contained within the underlying standard. ### Claim 13 (depends on 11) The system of claim 11, wherein the machine-learning model is trained utilizing annotated underlying standards. ### Claim 14 (depends on 11) The system of claim 11, comprising labeling, using the at least one trained machine-learning model, the extracted conceptual units with a sub-type of the function corresponding to a given extracted conceptual units. ### Claim 15 (depends on 11) The system of claim 11, wherein the conceptual units comprise at least one of sentences and table components. ### Claim 16 (depends on 11) The system of claim 11, wherein the classifying is based upon a context of a given extracted conceptual unit within the underlying standard. ### Claim 17 (depends on 11) The system of claim 11, wherein the classifying comprises identifying, utilizing expression patterns, attributes of extracted conceptual unit. ### Claim 18 (depends on 11) The system of claim 11, wherein the machine-learning model is trained utilizing patterns. ### Claim 19 (depends on 11) The system of claim 11, wherein the classifying comprises identifying, utilizing aliasing, extracted conceptual units representing information having similar attributes. ### Claim 20 A product for generating a digital standard utilizing a trained machine-learning model, the product comprising: a storage device that stores code, the code being executable by one or more processors and comprising: code that receives an underlying standard; code that extracts conceptual units from the underlying standard; code that classifies, using at least one trained machine-learning model, at least a portion of the extracted conceptual units into one of a plurality of classification groups, wherein each of the classification groups identifies a function of the extracted conceptual units, included within a given classification group, within the underlying standard; wherein the classifying comprises classifying conceptual units from the underlying standard based upon sections of a schema corresponding to a digital standard, wherein the schema identifies a format of the digital standard and provides for displaying digital standards consistently across digital standards; code that stores the classified extracted conceptual units into a data repository as defined by the schema thereby allowing an access technique to access and retrieve one of the classified extracted conceptual units upon a request to display a digital standard including the one of the classified extracted conceptual units; code that displays, within a user interface on a display of an information handling device, a digital standard in a format based upon the schema, wherein the displaying comprises displaying a plurality of tabs within the user interface, each of the plurality of tabs corresponding to a different aspect of the digital standard, wherein the displaying comprises accessing conceptual units from the data repository corresponding to the digital standard and displaying the conceptual units in a format in accordance with the schema, and within one of the plurality of tabs corresponding to the classification of the conceptual units; and code that provides, within the user interface, search and filter functions allowing for finding information related to the digital standard.