System for cognitive resource identification using swarm intelligence

A computer program product for cognitive resource identification using swarm intelligence, the computer program product comprising a non-transitory computer-readable medium comprising code causing a first apparatus to:

• electronically receive, from a computing device of a user, one or more resource requirements associated with an entity;
• electronically receive metadata associated with one or more resources;
• generate a superimposed unified resource ontological (URO) graph based on at least the one or more resource requirements and the metadata associated with the one or more resources;
• initiate an ant colony optimization (ACO) algorithm on the superimposed URO graph;
• generate, using the ACO algorithm, one or more primary resource selection parameters based on at least initiating the ACO algorithm on the superimposed URO graph;
• initiate a fuzzy resource selection engine on the one or more primary resource selection parameters;
• determine, using the fuzzy resource selection engine, the one or more resources in a descending order of applicability for the one or more resource requirements based on at least the one or more primary resource selection parameters;
• and
• transmit control signals configured to cause the computing device of the user to display the one or more resources in the descending order of applicability to the one or more resource requirements.

A method for cognitive resource identification using swarm intelligence, the method comprising:

• electronically receiving, from a computing device of a user, one or more resource requirements associated with an entity;
• electronically receiving metadata associated with one or more resources;
• generating a superimposed unified resource ontological (URO) graph based on at least the one or more resource requirements and the metadata associated with the one or more resources;
• initiating an ant colony optimization (ACO) algorithm on the superimposed URO graph;
• generating, using the ACO algorithm, one or more primary resource selection parameters based on at least initiating the ACO algorithm on the superimposed URO graph;
• initiating a fuzzy resource selection engine on the one or more primary resource selection parameters;
• determining, using the fuzzy resource selection engine, the one or more resources in a descending order of applicability for the one or more resource requirements based on at least the one or more primary resource selection parameters;
• and
• transmitting control signals configured to cause the computing device of the user to display the one or more resources in the descending order of applicability to the one or more resource requirements.