Automobile repair knowledge entity network construction method, device and equipment

A technology of network construction and entity structure, applied in semantic tool creation, unstructured text data retrieval, etc., can solve the problems of scarcity of maintenance personnel, high threshold of auto repair industry, and high cost of auto repair

Inactive Publication Date: 2019-03-19
LAUNCH TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The purpose of this application is to provide a method, device, equipment, and computer-readable storage medium for constructing an auto repair knowledge entity network, which are used to solve the problem of high barriers to entry in the auto repair industry, scarcity of maintenance personnel, and problems in the auto repair industry due to the large and complex auto repair knowledge. Problems with high repair costs

Method used

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  • Automobile repair knowledge entity network construction method, device and equipment
  • Automobile repair knowledge entity network construction method, device and equipment
  • Automobile repair knowledge entity network construction method, device and equipment

Examples

Experimental program
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Effect test

Embodiment 1

[0102] The following introduces Embodiment 1 of a method for constructing an auto repair knowledge entity network provided by the present application, see figure 1 , embodiment one includes:

[0103] Step S101: Obtain structured auto repair data.

[0104] It should be noted that this embodiment takes structured auto repair data as input and extracts auto repair knowledge from it, but in actual scenarios, the input may be auto repair texts, such as massive auto repair manuals or auto repair web pages. In this case, structured auto repair text can be obtained by performing preprocessing operations such as word segmentation and filtering stop words on the text. Therefore, obtaining the structured auto repair data in this embodiment is only an implementation manner, which is not limited in this application.

[0105] Step S102: Perform entity recognition on the structured auto repair data, and determine a plurality of auto repair entities in the structured auto repair data.

[0...

Embodiment 2

[0113] like image 3 As shown, the second embodiment of a method for constructing an auto repair knowledge entity network provided by this application specifically includes:

[0114] Step S201: Obtain structured auto repair data, classify it, and mark the structured auto repair data according to the classification result.

[0115] In fact, step S201 can be used as a preprocessing step, specifically including: pre-dividing the structured auto repair data into the following four types according to the data content type: conceptual type, inspection type, maintenance type, and disassembly type, and according to the structured The data content type of auto repair data, adding type marks for structured auto repair data.

[0116] The purpose of classifying structured auto repair data based on data content type is to improve the efficiency of subsequent extraction of auto repair knowledge. The principle is that structured auto repair data with different data contents contain differen...

Embodiment 3

[0129] Specifically, embodiment three includes:

[0130] Step S301: Obtain structured auto repair data.

[0131] Step S302: Determine the type of the data content. If it is a conceptual type, go to step S303. If it is an inspection type, go to step S304. If it is a maintenance type, go to step S305. If it is a disassembly type, go to step S306. What needs to be explained here is that the following four steps are different. Therefore, the same parameter may have different meanings in different steps. For details, please refer to the explanation of the meaning of the parameter in its own step.

[0132] Step S303: Carry out entity recognition for auto repair parts nouns and auto repair phenomenon nouns, and obtain a sequence {x 1 ,x 2 ,...,x m}. And extract the relationship entity pairs of each auto repair entity to obtain a sequence including multiple relationship entity pairs The relationship entity pair reflects the following information: the relationship between auto re...

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Abstract

The invention discloses an automobile repair knowledge entity network construction method. a plurality of automobile repair entities can be identified from the structured automobile repair data; the automobile repair knowledge entity network is constructed on the basis of automobile repair entities and corresponding relation entity pairs, logic relations, namely the relation entity pairs, among the automobile repair entities are extracted, the automobile repair knowledge entity network is finally constructed on the basis of the automobile repair entities and the corresponding relation entity pairs, and the automobile repair entities comprise any one or any combination of automobile repair part nouns, automobile repair phenomenon nouns and automobile repair steps. Therefore, by means of themethod, the relation between the automobile repair part, the automobile repair phenomenon and the automobile repair steps can be extracted, and the automobile repair knowledge entity network is established based on the relation, so that the purpose of providing rich and accurate automobile repair knowledge for automobile repair personnel is achieved, the threshold of the automobile repair industry is lowered, the automobile repair cost is saved, and the problem that professional maintenance personnel are scarce is solved. The invention further provides an automobile repair knowledge entity network construction device and equipment and a computer readable storage medium. The effects of the automobile repair knowledge entity network construction device and equipment correspond to the effects of the method.

Description

technical field [0001] The present application relates to the field of knowledge entity construction, in particular to a method, device, equipment, and computer-readable storage medium for constructing an auto repair knowledge entity network. Background technique [0002] Since the beginning of the 21st century, with the further development of my country's productivity and the improvement of the economic level, the number of cars in China has increased sharply, and cars have quickly entered the families of ordinary Chinese people, so the demand for car maintenance has increased sharply. [0003] Due to the vast and complex knowledge of auto repair, ordinary employees need several years of study to become professional maintenance personnel, resulting in high barriers to entry in the auto repair industry, scarcity of maintenance personnel, and high costs of auto repair. Contents of the invention [0004] The purpose of this application is to provide a method, device, equipme...

Claims

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Application Information

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IPC IPC(8): G06F16/36
Inventor 刘均秦文礼
Owner LAUNCH TECH CO LTD
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