Knowledge graph construction for online courses using enhanced BERT and BiLSTM

Key Points

• The central aim is to construct a knowledge graph for online courses using enhanced BERT and BiLSTM technologies.
• Utilized enhanced BERT for embedding course-related data.
• Applied BiLSTM for sequential data processing.
• Integrated data sources to develop a unified knowledge graph.
• Analyzed the performance of the knowledge graph in educational settings.
• Demonstrated improved accuracy in course recommendations.
• Showed enhanced data retrieval speed.
• Highlighted the effectiveness of using machine learning techniques for knowledge graph application.

Abstract