Knowledge enabled data management system

A method comprising:

• receiving first data via knowledge extraction circuitry;
• storing a first data instance representative of the first data in a knowledge graph stored within a database according to a first ontology corresponding to the first data, the first data instance comprising a first graph entity, a second graph entity and a third graph entity;
• determining the third graph entity of the first data instance is not completed with information from the first data;
• reviewing the knowledge graph to determine inferred information to complete the third graph entity of the first data instance, the determination of the inferred information comprising at least one of a deduction, an induction, or an abduction;
• and
• completing the third graph entity of the first data instance with the inferred information;
• receiving a query regarding the first data;
• and
• parsing the first query to derive a first query entity;
• searching the knowledge graph stored within the database for the first graph entity corresponding to the first query entity, the first graph entity comprising a portion of the first data instance;
• returning to the query interface a first identification of the first graph entity;
• returning to the query interface a second identification of at least the second graph entity related to the first graph entity via the first data instance and stored within the knowledge graph;
• and
• providing, responsive to the query, second data corresponding to the first graph entity and third data corresponding to the second graph entity.

A product comprising a non-transitory computer readable medium having stored thereon computer executable instructions that when executed cause the computer to:

• receive first data via knowledge extraction circuitry;
• store a first data instance representative of the first data in a knowledge graph stored within a database according to a first ontology corresponding to the first data, the first data instance comprising a first graph entity, a second graph entity and a third graph entity;
• determine the third graph entity of the first data instance is not completed with information from the first data;
• review the knowledge graph to determine inferred information to complete the third graph entity of the first data instance, the determination of the inferred information comprising at least one of a deduction, an induction, or an abduction;
• and
• complete the third graph entity of the first data instance with the inferred information;
• receive a query regarding the first data;
• parse the first query to derive a first query entity;
• search the knowledge graph stored within the database for a first graph entity corresponding to the first query entity, the first graph entity comprising a portion of the first data instance;
• return to the query interface a first identification of the first graph entity;
• return to the query interface a second identification of at least a second graph entity related to the first graph entity via the first data instance and stored within the knowledge graph;
• and
• provide, responsive to the query, second data corresponding to the first graph entity and third data corresponding to the second graph entity.