Constructing a method and device for expanding Chinese knowledge points

Abstract

The invention provides a method and a device for establishing continuation of Chinese knowledge points. The method comprises the following steps of: respectively building at least one corresponding knowledge element by character information of a text file of the knowledge point and a chained address of a multimedia file of the knowledge point; packaging at least one knowledge element and the corresponding attribute information into a corresponding JavaScript object notation (JSON) format file, wherein the attribute information includes key words, category message and creation time of the knowledge element; and storing the JSON format file in a retrieve database. The device comprises a building module, a packaging module and a storing module. The method and the device for establishing continuation of Chinese knowledge points enable the users to efficiently and accurately retrieve the knowledge points matched with the text for teaching by the retrieve database, thereby increasing the work efficiency, and also reducing data redundancy in the retrieve database and reducing the repeatability.

Description

technical field [0001] The invention relates to the field of computers, in particular to a method and device for constructing Chinese knowledge point expansion. Background technique [0002] At present, the current Chinese teaching materials usually have various versions. In these versions of Chinese teaching materials, there is a certain degree of overlap between different versions of the same text, and the knowledge points contained in each different text also have a lot of overlapping content and different content. Regularity. In the process of using Chinese textbooks for teaching, it is usually necessary to combine knowledge points related to the text to achieve better teaching effects. In response to this teaching demand, the existing implementation methods for building Chinese knowledge point expansion are all manually configured for each text, which not only has a huge workload, but also makes the entire manual construction process slow due to the irregularity of the...

AI Technical Summary

Problems solved by technology

In response to this teaching demand, the existing implementation methods for building Chinese knowledge point expansion are all manually configured for each text, which not only has a huge workload, but also makes the entire manual construction process slow due to the irregularity of the text content. Accompanied by a large amount of repetitive work, this will undoubtedly consume a lot of labor costs, and the work efficiency is also very low

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