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US 2026/0073250 A1Published application
System and method for hybrid knowledge graph query processing using generic schema mapping and template-based query resolution
AssigneeLeidos, Inc.
InventorsJackson D. Scott, Erin A. Smith Crabb
Life of this patent
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Abstract
A process and system for facilitating natural language interrogation of system engineering models is described. The process and system utilize multiple formatting translations of the original SysML model into a graph schema which can be queried by a user using LLM-backed Retrieval Augmented Generation (RAG).
Claims7
A process for facilitating interrogation of system engineering models comprising:
- translating, by a processing system, a system engineering model representing a specific system in a first format into one or more Knowledge Graphs (KG) having a second format;
- and
- translating, by the processing system, the one or more KGs from the second format into a third format, wherein the third format is a graph schema;
- populating a graph database, by the processing system, with the graph schema representation of the system engineering model;
- receiving, by the processing system, a text query of the graph database by a user;
- retrieving, by the processing system, the graph schema from the graph database;
- passing, by the processing system, the user's text query and the response from the graph scheme to a first large language model (LLM);
- formulating, by the first LLM, a graph database query from the user's text query and the graph schema;
- querying the graph database, by the processing system, with the graph database query;
- receiving, by the processing system, a response to the graph database query from the graph database;
- passing, by the processing system, the user's text query and the response from the graph database to a second large language model (LLM);
- generating, by the second LLM, a text-based response to the user's text query;
- and
- providing, by the processing system, the text-based response to the user.
11 more elements
Dependencies are inferred from the claim text.