大数据 (Jul 2021)

Key technologies and research progress of medical knowledge graph construction

  • Ling TAN,
  • Haihong E,
  • Zemin KUANG,
  • Meina SONG,
  • Yu LIU,
  • Zhengyu CHEN,
  • Xiaoxuan XIE,
  • Jundi LI,
  • Jiawei FAN,
  • Qingchuan WANG,
  • Xiaoyang KANG

Journal volume & issue
Vol. 7
p. 2021040

Abstract

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With the continuous iterative updating of Internet technology, the semantic understanding of massive data is becoming more and more important.Knowledge graph is a kind of semantic network that reveals the relationship between entities.Medicine is one of the most widely used vertical fields of knowledge graph.The construction of medical knowledge graph is also a hot research in the field of artificial intelligence at home and abroad.Starting from the ontology construction of medical knowledge graph, named entity recognition, entity relationship extraction, entity alignment, entity linking, knowledge graph storage and application of knowledge graph were reviewed.The difficulties, existing technologies, challenges and future research directions in the process of constructing medical knowledge graph in recent years were introduced.Finally, the application of knowledge graph and the future development direction of medical knowledge graph were discussed.

Keywords