A kind of knowledge retrieval method and its system, computer equipment and readable storage medium

A knowledge retrieval and knowledge technology, applied in the field of question and answer retrieval, can solve problems such as slow acquisition speed, inability to contact relevant information, and inconvenience for users to understand more accurately. low effect

CN110442759BActive Publication Date: 2022-05-13SHENZHEN POWER SUPPLY BUREAU
10 Cites 0 Cited by

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Publication Date
2022-05-13

Smart Images

  • Figure 1
    Figure 1
  • Figure 2
    Figure 2
Patent Text Reader

Abstract

The present invention provides a knowledge retrieval method and its system, computer equipment and readable storage medium. The method includes: acquiring knowledge data to be processed, and the knowledge data to be processed includes one of voice information, image information or first text information or more; the knowledge data to be processed is preprocessed to obtain keywords; the keywords are input into a pre-trained deep learning neural network to perform feature retrieval to obtain retrieval results; the retrieval results include the deep learning neural network and Feature knowledge associated with the keyword; output and display the retrieval result. The system, computer equipment and readable storage medium are all carriers for realizing the knowledge retrieval method. By implementing the invention, the speed and accuracy of knowledge retrieval can be improved, and it is convenient for users to understand the related knowledge of the feature more accurately.
Need to check novelty before this filing date? Find Prior Art

Description

technical field

[0001] The invention relates to the technical field of question-and-answer retrieval, in particular to a knowledge retrieval method and its system, computer equipment and a readable storage medium. Background technique

[0002] Deep learning originates from the research of artificial neural network. The multi-layer perceptron with multiple hidden layers is a deep learning structure. Deep learning combines low-level features to form more abstract high-level representation attribute categories or features to discover the distributed characteristics of data. The advantage of deep learning is to use unsupervised or semi-supervised feature learning and hierarchical feature extraction efficient algorithms to replace manual feature acquisition, and through the relationship between the neural networks of each layer, it is convenient for users to understand and acquire features more accurately. related information.

[0003] Existing knowledge retrieval methods rely o...

Examples

Embodiment Construction

[0038] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of them. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0039] Here, it should also be noted that, in order to avoid obscuring the present invention due to unnecessary details, only the structures and / or processing steps closely related to the solution according to the present invention are shown in the drawings, and the related Other details are not relevant to the invention.

[0040] Such as figure 1 As shown, Embodiment 1 of the present invention provides a knowledge retrieval method, including th...