Multivariate intelligence-fused adaptive learning knowledge graph construction method and multivariate intelligence-fused adaptive learning knowledge graph construction system

• Main Author: WANG JIAN
• Format: Patent
• Language: Chinese; English
• Published: 17.07.2020
• Subjects: CALCULATING; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS; COMPUTING; COUNTING; ELECTRIC DIGITAL DATA PROCESSING; HANDLING RECORD CARRIERS; PHYSICS; PRESENTATION OF DATA; RECOGNITION OF DATA; RECORD CARRIERS

The invention relates to the technical field of knowledge graph construction, and discloses a multivariate intelligence fused adaptive learning knowledge graph construction method and system. The method comprises the steps: S1, extracting domain knowledge element entities; s2, setting attributes of elements of the domain knowledge model, and integrating attributes for describing the learning ability of a learner in a multivariate intelligent theory into attributes of knowledge points in the domain knowledge model; s3, constructing a relationship between elements of the domain knowledge model;and S4, dynamically updating the netty knowledge graph. In the prior art, knowledge node attribute extraction in domain knowledge only pays attention to knowledge point subject attributes; according to the method, the technical problem that when knowledge point achievement degree calculation is carried out based on knowledge point features and learner features, an accurate basis is lacked due to the fact that the internal