Method, device, system and storage medium for automatically establishing user knowledge framework

Abstract

The invention discloses a method, a device and a system for automatically establishing a user knowledge framework and a storage medium. The method comprises the following steps: acquiring user information of a client and inquiring whether knowledge framework information of the user is stored in a user information database; if not, sending a knowledge structure questionnaire page to the client, acquiring answer information sent by the client, and acquiring preliminary knowledge characteristics of the user with a pre-arranged knowledge framework establishing model according to the answer information; generating a preliminary knowledge framework report and sending the knowledge framework report to the client; receiving the grade of the preliminary knowledge framework report sent by the client; determining the preliminary knowledge framework report to be credible and storing the report when the grade is higher than or equal to a preset grade threshold. Time cost of the user for establishing a knowledge system can be saved, the systematized knowledge framework which is more accurate and better meets requirements of the user knowledge system is established, and the efficiency of the userfor knowledge acquisition is increased.

Description

Technical field [0001] The present invention relates to the field of natural language processing, and in particular to a method, device, system and storage medium for automatically establishing a user knowledge frame. Background technique [0002] The so-called establishment of a knowledge framework refers to a knowledge system that is integrated according to individual's scattered, fragmented, and relatively independent knowledge concepts or viewpoints, so that it has a certain connection, and is artificially based on users' knowledge. At present, many users who need to establish a personal knowledge framework rely on self-examination and self-summarization to build a networked knowledge structure like tree diagrams or nebula diagrams. Although this method has a high accuracy rate, it is inefficient, and has a cost of time and time. The labor cost is huge. Moreover, for many people who are determined to persist in reading, it is still very difficult to design their own reading ...

AI Technical Summary

Problems solved by technology

At present, many users who need to establish a personal knowledge framework only rely on self-inspection and self-summarization to build a network knowledge structure such as a dendrogram or a nebula map. Although this method has a high accuracy rate, it is inefficient and time-consuming. Human cost is huge

And for many people who are determined to keep reading, how to design their own reading plans, reading categories and books based on their established knowledge framework is still very difficult

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