Patents
US 12769727 B2: Graph-based natural language processing (NLP) for querying, analyzing, and visualizing complex data structures
- Granted
- 2026-10-20
- Filed
- 2025-03-03 application 19068686
- Type
- Utility · 20 claims
- Elsewhere
- Google Patents ↗ · USPTO patent document ↗ · USPTO Patent Center record ↗
Abstract
An artificial intelligence (AI) language model is trained using input data from one or more original data sources and a selected training algorithm that includes data extraction and condensing techniques. The trained AI model generates self-written code to create an executable query script for extracting data and an executable load script for loading the extracted data into a graph database. The extracted data is stored as newly created nodes within the graph database. The AI model transforms the loaded data into a condensed data structure that represents the full architecture of the data in a natural language format. The AI model is further trained to respond to user input in natural human language using the condensed data structure. Upon receiving a user query, the AI model processes the input, generates a structured data query, retrieves relevant information from the graph database, and outputs a response in natural language.
Source: PTBLXML, file of 2026-10-20 (ipgb20261020.xml).
Assignees
| Assignee | Type | Place | Also on furp.org | Source |
|---|---|---|---|---|
| Arizona Board of Regents on Behalf of Arizona State University 1,571 patents | US company or organization | Scottsdale, AZ | PTBLXML, file of 2026-10-20 |
Inventors
| Inventor | Place | Patents | Person page | Source |
|---|---|---|---|---|
| Mark Naufel | Scottsdale, AZ | 5 | PTBLXML, file of 2026-10-20 |
CPC categories
| Subclass | Category | First group | Source |
|---|---|---|---|
| G06F | Electric digital data processing | G06F16/243 | PTBLXML, file of 2026-10-20 |
| G06N | Computing arrangements based on specific computational models | G06N20/00 | PTBLXML, file of 2026-10-20 |
Cooperative Patent Classification, as currently assigned (one row per subclass).
Assignments and security interests
No recorded assignments or security interests on file for this patent.
USPTO bulk data: PatentsView granted patents, disambiguated (PVGPATDIS) for patents, assignees, inventors, places and CPC categories; the USPTO Patent Assignment Dataset (ECORSEXC) for assignments and security interests. Patents filed in the last 20 years. No claims or full text. Links to other records are by name (and state): EXACT means the identical full name and state; FUZZY means a looser name match, with the confidence shown.