Systems and methods for semantic concept definition and semantic concept relationship synthesis utilizing existing domain definitions

A system for assessing the coherence of an input with a data processing system using synthesized concepts, the system comprising:

• at least one processor, operable to execute executable instructions stored in at least one tangible memory, to:
• obtain an active concept definition from the input of a cognitive agent;
• extract a plurality of real concept definitions composed of a set of attributes from an analyzed domain;
• match the active concept definition to the extracted real concept definitions;
• derive a plurality of virtual concept definitions from the real concept definitions using a semantic processing protocol, such that the derived virtual concept definitions form a tree-structure graph of concepts and concept relationships;
• measure an attribute set coherence of the virtual concept definitions using a confidence gradient, wherein the confidence gradient is based on at least one metric of relative proximity and co-occurrence;
• and
• assess the probability of coherence of the input with the data processing system based on the measure of coherence within the confidence gradient.