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Knowledge graph construction method and system based on scene latitude

A knowledge map and construction method technology, applied in the direction of semantic tool creation, unstructured text data retrieval, digital data information retrieval, etc., can solve the problems of low interactivity and not fully considering the individual needs of users, so as to improve interactivity , the effect of meeting individual needs

Active Publication Date: 2021-08-13
YUNNAN UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] However, there are certain limitations in constructing the knowledge map of subject knowledge through the above methods. The construction of the knowledge map does not fully consider the individual needs of users, resulting in low interactivity.

Method used

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  • Knowledge graph construction method and system based on scene latitude
  • Knowledge graph construction method and system based on scene latitude

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0120] Such as figure 2 A method for constructing a knowledge map based on scene latitude in this embodiment includes.

[0121] S1. Obtain the representation information of the knowledge point and the description information of the knowledge point; specifically, in this embodiment, an idiom is selected as the knowledge point, and the representation information of the knowledge point is the character itself of a specific idiom; the description information Includes dictionary definitions and allusions. But in fact, there are many knowledge points that can be learned. As long as it is a knowledge point like Encyclopedia, that is, a knowledge structure including entries and definitions, a knowledge map can be established according to the method described in this embodiment. This embodiment is only For the convenience of explanation, only the idioms are listed, not only for the idioms.

[0122] S2. For each knowledge point, analyze the description information of the knowledge po...

Embodiment 2

[0137] The difference between this embodiment and Embodiment 1 is that in this embodiment, performing word segmentation processing on the description information in S2 includes: filtering stop words and symbols in the description information to obtain filtering information; performing word segmentation processing on the filtering information , to get the keyword, and carry out statistics on the repetition frequency of the keyword in the unit of the keyword, and obtain the label information.

[0138] The scene description information of the current scene in the collection environment for the current time in S5 includes: obtaining the current geographic location information, obtaining the current network time information, generating geographic time information, and matching the geographic time information with the preset user's work and rest time, generating first matching information;

[0139] Obtain environmental sound information, perform noise reduction and filtering on the ...

Embodiment 3

[0149] Compared with Embodiment 1, the only difference is that it also includes S6, receiving the voice information and time length information of the user reading the knowledge point, and generating accuracy and fluency information, if the accuracy and fluency information exceed the preset If the threshold is set, the information to be confirmed whether to continue learning the knowledge point is generated; if a request from the user not to continue learning the knowledge point is received, return to S1 and delete the representation information and description information of the knowledge point. According to the user's learning situation, it can generate information to be confirmed whether the user needs to continue learning. After the user chooses not to use it, the information related to the knowledge point can be deleted. Although the information in the knowledge graph is decreasing, it is more suitable for the user's situation. Avoiding repeated learning can make the entir...

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Abstract

The invention relates to a knowledge graph construction method and system based on scene latitude, and the method comprises the steps of obtaining the representation information and description information of each knowledge point in a knowledge base, and preliminarily determining the label information of each knowledge point; generating an initial scene recognition library according to user survey; performing statistical analysis on scene information in a scene recognition library to determine scene key information of each knowledge point, and adding the scene key information into label information; according to the updated label information of each knowledge point, determining an association relationship among different knowledge points in the knowledge base, and constructing a knowledge graph of the knowledge base; and optimizing the scene recognition library in the use process of a user, and continuously optimizing the knowledge graph by utilizing the optimized scene recognition library. According to the invention, user information such as scene information (time and geography) of the user is fully considered in the knowledge graph construction process. The personalized requirements of the user are met, and the interactivity and experience of the user are improved.

Description

technical field [0001] The present invention relates to the technical field of information processing, in particular to a method and system for constructing a knowledge map based on scene latitude. Background technique [0002] Knowledge graphs can provide high-quality structured data and have been widely used in many fields of artificial intelligence, such as automatic question answering, search engines, and information extraction. The existing domestic subject knowledge map construction data sources are single, usually only textbooks or some simple teaching supplementary materials. At present, the construction of the knowledge map for subject knowledge is mainly to construct the ontology of the subject knowledge through the preset requirements and the characteristics of the subject knowledge, and determine the entities of concepts, methods, formulas, theorems, etc., from textbooks or supplementary materials, etc. Obtain semi-structured or unstructured data from the data s...

Claims

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Application Information

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IPC IPC(8): G06F16/36G06F16/33G06F16/335G06F16/383G06F16/387
CPCG06F16/367G06F16/334G06F16/335G06F16/387G06F16/383
Inventor 浦同争黄铭杨晶晶
Owner YUNNAN UNIV
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