This chapter explores knowledge graphs, focusing on their development, construction methods, and key technologies such as entity and relationship extraction. It highlights the integration of data from large-scale knowledge bases, web link data, and knowledge fusion from diverse sources. Applications of knowledge graphs in intelligent search, machine learning, automatic question answering, and document representation are also discussed.

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Big Data Automatic Construction and Application of Knowledge Graph

  • Huaping Zhang,
  • Jianyun Shang

摘要

This chapter explores knowledge graphs, focusing on their development, construction methods, and key technologies such as entity and relationship extraction. It highlights the integration of data from large-scale knowledge bases, web link data, and knowledge fusion from diverse sources. Applications of knowledge graphs in intelligent search, machine learning, automatic question answering, and document representation are also discussed.