Semantic reasoning method and terminal for learning target in education metaverse

Abstract

Disclosed are a semantic reasoning method and a terminal for a learning target in an education metaverse. The method includes receiving a description text of a learning target, segmenting the description text into a lexical item sequence, extracting an entry from the lexical item sequence, extracting a semantic lexical item based on the entry, and mapping the semantic lexical item into a first word vector. By capturing the semantic feature vector in the word vector, the subject and knowledge points in the learning target are obtained by reasoning, the target knowledge points of the learning target are determined and positioned, and the association relationship between the target knowledge points is obtained, so that the semantic information of the learning target can be fully mined, and the accuracy of the learning target extraction can be improved. It matches with the corresponding teaching scene based on the learning targets.