Method for constructing multi-modal teaching knowledge graph

Abstract

The invention provides a method for constructing a multi-modal teaching knowledge graph. The method comprises the following steps: S1, constructing knowledge points of a target teaching material and attributes corresponding to the knowledge points; S2, acquiring a plurality of original data from a plurality of data sources according to the knowledge points and attributes of the knowledge points, wherein the original data comprises pictures, audios or video resources; and S3, taking the teaching outline of the target teaching material as a theme, processing the data in the step S1 and the stepS2, and generating a teaching knowledge graph. According to the application, the knowledge points of the target teaching material and the relationship between the knowledge points are displayed in theform of the map by constructing the multi-modal teaching knowledge map, and the multi-modality is fused into the knowledge map, so that the knowledge display form is enriched, and the classroom interestingness is enhanced; and meanwhile, a multi-mode teaching and learning intelligent education interaction environment is created.

Description

technical field [0001] The invention relates to the field of computer data processing, in particular to a method for constructing a multimodal teaching knowledge graph. Background technique [0002] Personalized learning is an eternal theme of education reform and development. With the rapid development of technologies such as big data and artificial intelligence, the return of a new generation of artificial intelligence technology centered on knowledge graphs enables teaching knowledge graphs to assist teachers in realizing smart classroom teaching become possible. A knowledge graph is a knowledge base called a semantic network, that is, a knowledge base with a directed graph structure, in which the nodes of the graph represent entities or concepts, and the edges of the graph represent various semantic relationships between entities / concepts, but Most of the existing teaching knowledge graphs present knowledge points in the form of text, and the presentation of knowledge p...

AI Technical Summary

Problems solved by technology

A knowledge graph is a knowledge base called a semantic network, that is, a knowledge base with a directed graph structure, in which the nodes of the graph represent entities or concepts, and the edges of the graph represent various semantic relationships between entities / concepts, but Most of the existing teaching knowledge graphs present knowledge points in the form of text, and the presentation of knowledge points or entity-related information in the form of text is very monotonous and incomplete. Therefore, the traditional knowledge graph largely only completes the collection of written knowledge. For students, without the cooperation of multimedia resources such as pictures, audio, and video, boring text cannot fully mobilize students' interest in learning

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