System and method for coalescing and representing knowledge as structured data
First Claim
1. A method for representing knowledge as structured data, the method comprising:
- determining, by a knowledge processor, one or more features associated with each of one or more concepts from at least one sentence;
determining, by the knowledge processor, at least one concept feature matrix based on the one or more features;
determining, by the knowledge processor, one or more contribution factors among the one or more concepts, based on the at least one concept feature matrix;
determining, by the knowledge processor, 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, by the knowledge processor, at least one new concept feature matrix based on the incremental synchronization data;
determining, by the processor, one or more new contribution factors among the one or more concepts, based on the at least one new concept feature matrix;
determining, by the processor, differential value between the one or more contribution factors and the one or more new contribution factors; and
dynamically updating, by the knowledge processor, the knowledge data, in the repository system, based on the differential value.
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Abstract
In certain embodiments, the method may comprise, 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; 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.
15 Citations
20 Claims
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1. A method for representing knowledge as structured data, the method comprising:
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determining, by a knowledge processor, one or more features associated with each of one or more concepts from at least one sentence; determining, by the knowledge processor, at least one concept feature matrix based on the one or more features; determining, by the knowledge processor, one or more contribution factors among the one or more concepts, based on the at least one concept feature matrix; determining, by the knowledge processor, 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, by the knowledge processor, at least one new concept feature matrix based on the incremental synchronization data; determining, by the processor, one or more new contribution factors among the one or more concepts, based on the at least one new concept feature matrix; determining, by the processor, differential value between the one or more contribution factors and the one or more new contribution factors; and dynamically updating, by the knowledge processor, the knowledge data, in the repository system, based on the differential value. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9)
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10. A system for representing knowledge as structured data, comprising:
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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. - View Dependent Claims (11, 12, 13, 14, 15, 16, 17, 18)
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19. 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:
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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. - View Dependent Claims (20)
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Specification