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Key technologies and research progress of medical knowledge graph construction

Authors :
Ling TAN
Haihong E
Zemin KUANG
Meina SONG
Yu LIU
Zhengyu CHEN
Xiaoxuan XIE
Jundi LI
Jiawei FAN
Qingchuan WANG
Xiaoyang KANG
Source :
大数据, Vol 7, p 2021040 (2021)
Publication Year :
2021
Publisher :
China InfoCom Media Group, 2021.

Abstract

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.

Details

Language :
Chinese
ISSN :
20960271
Volume :
7
Database :
Directory of Open Access Journals
Journal :
大数据
Publication Type :
Academic Journal
Accession number :
edsdoj.41c89ec7014719848f4a24976fb9a2
Document Type :
article
Full Text :
https://doi.org/10.11959/issn.2096-0271.2021040