PEC course question and answer method and robot based on knowledge graph and oriented to autonomous learning

Abstract

The invention relates to a PEC course question and answer method based on a knowledge graph and oriented to autonomous learning. The method comprises the following steps: obtaining a knowledge data packet provided by a teacher end, the knowledge data packet comprising knowledge point data and problem processing data; performing data cleaning on the knowledge data packet; calling the Neo4j graph database and the elastic search database to construct a knowledge graph through a Neo4j technology; obtaining a keyword input by a user in a search engine; analyzing the keyword to obtain a current question, and extracting an answer from an elastic search database, wherein the matching degree between the answer and the current question is greater than a first threshold value; and displaying the answers and the knowledge maps corresponding to the answers according to a sequence of matching degrees from high to low. Multi-angle implicit knowledge can be automatically and intelligently found and reasoned from existing knowledge, so that students can conveniently check, supplement, digest and absorb the knowledge, and the time of teachers is greatly saved.

Description

technical field [0001] The invention relates to the technical field of network intelligent education, in particular to a PEC course question answering method and a robot for autonomous learning based on knowledge graphs. Background technique [0002] In the application-oriented undergraduate education and teaching, due to students' specialties, personality differences and the diversity of learning styles, students will inevitably encounter various problems in the learning process. When students seek solutions to problems, they rely too much on teachers, which requires teachers to spend more energy and time on social software to answer students' questions. [0003] Although the current mainstream social software (such as WeChat, QQ, etc.) has increased the good interaction between teachers and students and shortened the distance between teachers and students, due to the large number of students, students have a variety of questions, or similar questions are asked more often ...

AI Technical Summary

Problems solved by technology

[0003] Although the current mainstream social software (such as WeChat, QQ, etc.) has increased the good interaction between teachers and students and shortened the distance between teachers and students, due to the large number of students, students have a variety of questions, or similar questions are asked more often , a large number of repetitive tasks will undoubtedly increase the workload of teachers, and it will not be of great help to improve students' autonomous learning ability

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