公开(公告)号：US20220414228A1

公开(公告)日：2022-12-29

申请号：US17543184

申请日：2021-12-06

申请人： The MITRE Corporation

发明人： Christine M. DIFONZO ,  Steven E. NOEL

IPC分类号： G06F21/57 ,  G06F40/295 ,  G06F40/169 ,  G06F16/2452

摘要： Methods and systems for translating a natural language user query into a graph database query are described. In some instances, the methods may comprise receiving a first input from a user comprising a natural language query regarding data in a graph database; processing the natural language query using a named entity recognition (NER) machine learning model to extract named entities from the natural language query and tag them according to an entity type; processing the tagged named entities using a semantic similarity algorithm to identify corresponding nodes and edges, and their associated properties, in the graph database; processing the natural language query using an intent classification machine learning model to determine a user intent for the natural language query; and applying a user intent-based template to the identified nodes and edges to formulate a graph database query that corresponds to the natural language query.