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Synapse
April 14, 2026International Journal of Information and Communication Technology0 citationsOpen Access

Knowledge graph construction for online courses using enhanced BERT and BiLSTM

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JLJing Li

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

Inderscience is a global company, a dynamic leading independent journal publisher disseminates the latest research across the broad fields of science, engineering and technology; management, public and business administration; environment, ecological economics and sustainable development; computing, ICT and internet/web services, and related areas.

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Cite This Study

Jing Li (2026) studied this question.

synapsesocial.com/papers/69ddda22e195c95cdefd7b2bhttps://doi.org/10.1504/ijict.2026.10077611
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1A survey of textual information extraction methods for knowledge graph construction2026
  2. 2English deep semantic understanding and generation technology integrating knowledge graph and natural language processing2026
  3. 3A method for enhancing learning with artificial intelligence2026
  4. 4English-derived place name recognition and translation based on knowledge graph and phonetic generation algorithm2026
  5. 5Learning path planning method for engineering education based on course group knowledge graph and learner portrait2026