Resource identification method based on DIKW atlas, related device and readable medium

Abstract

The invention provides a resource identification method based on a DIKW map, a related device and a readable medium. The method comprises the following steps: acquiring an original resource of a target object and an intention of a user; traversing a resource map in the DIKW system by using the intention of the user and the original resource of the target object, and deriving and determining a plurality of derivation paths associated with the target object from the resource map, wherein the resource graph comprises a data graph, a consciousness graph, an information graph and a knowledge graph, the derivation paths comprise a plurality of mutually connected resources in the resource map, and each derivation path comprises an original resource of the target object and a new resource associated with the target object, and the new resource associated with the target object is derived and generated by traversing the resource map; according to the method, the hidden information in the target object can be derived through the DIKW system, so the resource identification result of the user analyzed from each derivation path is more comprehensive and accurate.

Description

technical field [0001] The present application relates to the field of computer application technology, and in particular to a method for identifying resources based on DIKW graphs, related devices and readable media. Background technique [0002] With the continuous development of the field of artificial intelligence, the technology of intelligently identifying information in information transmission tools such as audio, text, image, and video has been widely used in many fields. For example, intelligently recognize entities in images, intelligently recognize semantics in audio information, etc. [0003] However, because human beings have deviations when processing voice, text, image and other information, they will automatically process the interesting part and selectively ignore the uninteresting part, resulting in the As a result of the processing, part of the hidden information will be lost, and the intelligent recognition technology designed by humans will also select...

AI Technical Summary

Problems solved by technology

[0003] However, because human beings have deviations when processing voice, text, image and other information, they will automatically process the interesting part and selectively ignore the uninteresting part, resulting in the As a result of the processing, some hidden information will be lost, and the intelligent recognition technology designed by humans will also selectively ignore some parts of the process like the process of human processing information, resulting in the loss of hidden information

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