DECISION SUPPORT SYSTEM FOR DATA RETRIEVAL
There is provided a method for retrieving data, the method being executed by at least one processor, the method comprising: receiving a natural language query; decomposing the natural language query into query elements; generating, by providing the query elements to at least one classifier, a query type characterizing the natural language query; identifying a subset of the query elements based on the query type; generating a structured database query including the subset of the query elements; and retrieving data based on the structured database query.
1 . A method for retrieving data, the method being executed by at least one processor, the method comprising:
receiving a natural language query;
decomposing the natural language query into query elements;
generating, by providing the query elements to at least one classifier, a query type characterizing the natural language query;
identifying a subset of the query elements based on the query type;
generating a structured database query including the subset of the query elements; and
retrieving data based on the structured database query.
2 . The method of claim 1 , wherein said identifying the subset of the query elements is performed further based on one or more parameters associated with the query elements.
3 . The method of claim 1 , wherein the structured database query includes fewer elements than the natural language query.
4 . The method of claim 1 , further comprising processing the retrieved data for presentation based on the natural language query, thereby obtaining processed data.
5 . The method of claim 4 , wherein said processing the retrieved data comprises formatting the retrieved data.
6 . The method of claim 4 , further comprising generating a graphical representation of the processed data.
7 . The method of claim 1 , wherein said generating the structured database query comprises selecting a suitable function from a set of functions based on the query type.
8 . The method of claim 7 , wherein said selecting the suitable function is performed further based on at least one query parameters and relationships between the subset of the query elements.
9 . The method of claim 1 , wherein said retrieving the data comprises retrieving the data from at least one knowledge graph database operatively connected to the at least one processor using the structured database query.
10 . The method of claim 1 , wherein the query type comprises one of: an identification query, an amount query, a strategy query, a counting query, a listing query, a grouping query, a time query, and a calculation query.
11 . 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:
receiving a natural language query;
decomposing the natural language query into query elements;
generating, by providing the query elements to at least one classifier, a query type characterizing the natural language query;
identifying a subset of the query elements based on the query type;
generating a structured database query including the subset of the query elements; and
retrieving data based on the structured database query.
12 . The system of claim 11 , wherein said identifying the subset of the query elements is performed further based on one or more parameters associated with the query elements.
13 . The system of claim 11 , wherein the structured database query includes fewer elements than the natural language query.
14 . The system of claim 11 , wherein the at least one processor is further configured for processing the retrieved data for presentation based on the natural language query to obtain processed data.
15 . The system of claim 14 , wherein said processing the retrieved data comprises formatting the retrieved data.
16 . The system of claim 14 , wherein the at least one processor is further configured for generating a graphical representation of the processed data.
17 . The system of claim 11 , wherein said generating the structured database query comprises selecting a suitable function from a set of functions based on the query type.
18 . The system of claim 17 , wherein said selecting the suitable function is performed further based on at least one query parameters and relationships between the subset of the query elements.
19 . The system of claim 11 , wherein said retrieving the data comprises retrieving the data from at least one knowledge graph database operatively connected to the at least one processor using the structured database query.
20 . The system of claim 11 , wherein the query type comprises one of: an identification query, an amount query, a strategy query, a counting query, a listing query, a grouping query, a time query, and a calculation query.