System and method for coalescing and representing knowledge as structured data

A system for representing knowledge as structured data, comprising:

• at least one processor in electronic communication with a managing device, external manufacturer applications, and a single viewer devices dashboard;
• and
• a computer-readable medium storing instructions that, when executed by the at least one processor, cause the at least one processor to:
• determining one or more features associated with each of one or more concepts from at least one sentence;
• determining t least one concept feature matrix based on the one or more features;
• determining one or more contribution factors among the one or more concepts, based on the at least one concept feature matrix;
• determining incremental synchronization data by storing current timestamp associated with the one or more concepts and comparing it with knowledge data, wherein the knowledge data is pre-stored in a repository system;
• generating at least one new concept feature matrix based on the incremental synchronization data;
• determining one or more new contribution factors among the one or more concepts, based on the at least one new concept feature matrix;
• determining differential value between the one or more contribution factors and the one or more new contribution factors;
• and
• dynamically updating the knowledge data, in the repository system, based on the differential value.

A non-transitory computer-readable medium storing instructions for representing knowledge as structured data, wherein upon execution of the instructions by one or more processors, the processors perform operations comprising:

• determining one or more features associated with each of one or more concepts from at least one sentence;
• determining at least one concept feature matrix based on the one or more features;
• determining one or more contribution factors among the one or more concepts, based on the at least one concept feature matrix;
• determining incremental synchronization data by storing current timestamp associated with the one or more concepts and comparing it with knowledge data, wherein the knowledge data is pre-stored in a repository system;
• generating at least one new concept feature matrix based on the incremental synchronization data;
• determining one or more new contribution factors among the one or more concepts, based on the at least one new concept feature matrix;
• determining differential value between the one or more contribution factors and the one or more new contribution factors;
• and
• dynamically updating the knowledge data, in the repository system, based on the differential value.