A method and system for constructing a knowledge map based on scene latitude

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

Active Publication Date: 2022-02-18
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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  • A method and system for constructing a knowledge map based on scene latitude
  • A method and system for constructing a knowledge map 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 of the knowledge point and the 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 ...

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Abstract

The present invention relates to a method and system for constructing a knowledge map based on scene latitude, including: obtaining the representation information and description information of each knowledge point in the knowledge base, and preliminarily determining the label information of each knowledge point; generating the initial Scene recognition library; through statistical analysis of the scene information in the scene recognition library, determine the scene key information of each knowledge point and add it to the label information; determine the different information in the knowledge base according to the updated label information of each knowledge point. The relationship between the knowledge points is used to construct the knowledge map of the knowledge base; the scene recognition library is optimized during the user's use, and the knowledge map is continuously optimized by using the optimized scene recognition library. The present invention fully considers user information such as user scene information (time and geography) in the knowledge map construction process. It meets the individual needs of users and improves the interaction and experience of users.

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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Patent Type & Authority Patents(China)
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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