Decision support system for data retrieval

A system for retrieving data, the system comprising:

• a non-transitory storage medium storing computer-readable instructions thereon;
• and
• at least one processor operatively connected to the non-transitory storage medium, the at least one processor, upon executing the computer-readable instructions, being configured for:
• decomposing, using at least one natural language processing (NLP) model, a user query into query elements;
• determining, using at least one classifier, parameters for said query based on said query elements and relationships between query elements for said query;
• selecting at least one suitable function from a set of functions for said query based on said parameters for said query and the relationships between the query elements to formulate at least one database query;
• retrieving data from at least one knowledge graph database operatively connected to the system using said at least one database query;
• and
• processing retrieved data based on the relationships between the query elements to thereby determine a response to said query.

A method for retrieving data, the method being executed by at least one processor, the method comprising:

• receiving a natural language query from a user;
• decomposing said natural language query into query elements using at least one natural language processing (NLP) model;
• determining, using at least one classifier, query types and respective query parameters for said query based on said query elements and relationships between query elements for said query;
• selecting at least one suitable function for said query from a set of functions based on said query types, said respective query parameters and the relationships between the query elements to formulate at least one database query;
• retrieving data from at least one knowledge graph database operatively connected to the at least one processor, using said at least one database query;
• processing said data retrieved from the at least one knowledge graph database based on the relationships between the query elements to thereby determine a response to said query;
• and
• formatting said response into a formatted response to said natural language query from said user.