Research and Application Progress of Chinese Medical Knowledge Graph
Knowledge graph is a large-scale semantic network that gives machine background knowledge. Using knowledge graph to organize heterogeneous medical information can effectively improve the utilization value of massive medical resources and promote the development of medical intelligence. This paper de...
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Format: | Article |
Language: | zho |
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Journal of Computer Engineering and Applications Beijing Co., Ltd., Science Press
2022-10-01
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Series: | Jisuanji kexue yu tansuo |
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Online Access: | http://fcst.ceaj.org/fileup/1673-9418/PDF/1673-9418-16-10-2219.pdf |
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author | FAN Yuanyuan, LI Zhongmin |
author_facet | FAN Yuanyuan, LI Zhongmin |
author_sort | FAN Yuanyuan, LI Zhongmin |
collection | DOAJ |
description | Knowledge graph is a large-scale semantic network that gives machine background knowledge. Using knowledge graph to organize heterogeneous medical information can effectively improve the utilization value of massive medical resources and promote the development of medical intelligence. This paper describes the research, construction and application status of knowledge graph in medical field from three dimensions: the key technology of knowledge graph, the construction of medical knowledge graph and the application of medical knowledge graph, and explores the topics worthy of research in the future. Firstly, the development of knowledge representation, knowledge extraction, knowledge fusion and knowledge inference are systematically summarized, their latest progress is discussed, and the technical difficulties in the construction of Chinese medical knowledge graph are analyzed. Secondly, the existing research on Chinese medical knowledge graph is illustrated from three perspectives of medical ontology, general practice knowledge graph and single disease medical knowledge graph. The research characteristics of Chinese medical knowledge graph are also analyzed. Finally, the application of medical know-ledge graph in semantic search, decision support and intelligent question answering are analyzed, and the new app-lication scenarios are discussed. In view of the challenges faced by Chinese medical knowledge graph, such as low standardization of terminology, lack of annotated corpus, insufficient technical research and limitations of applica-tion scenarios, the future research directions of Chinese medical knowledge graph are prospected. |
first_indexed | 2024-04-12T08:52:05Z |
format | Article |
id | doaj.art-c876573a3f564ee79ab7cd028a20f8a8 |
institution | Directory Open Access Journal |
issn | 1673-9418 |
language | zho |
last_indexed | 2024-04-12T08:52:05Z |
publishDate | 2022-10-01 |
publisher | Journal of Computer Engineering and Applications Beijing Co., Ltd., Science Press |
record_format | Article |
series | Jisuanji kexue yu tansuo |
spelling | doaj.art-c876573a3f564ee79ab7cd028a20f8a82022-12-22T03:39:33ZzhoJournal of Computer Engineering and Applications Beijing Co., Ltd., Science PressJisuanji kexue yu tansuo1673-94182022-10-0116102219223310.3778/j.issn.1673-9418.2112118Research and Application Progress of Chinese Medical Knowledge GraphFAN Yuanyuan, LI Zhongmin0College of Life Science, Central South University, Changsha 410013, ChinaKnowledge graph is a large-scale semantic network that gives machine background knowledge. Using knowledge graph to organize heterogeneous medical information can effectively improve the utilization value of massive medical resources and promote the development of medical intelligence. This paper describes the research, construction and application status of knowledge graph in medical field from three dimensions: the key technology of knowledge graph, the construction of medical knowledge graph and the application of medical knowledge graph, and explores the topics worthy of research in the future. Firstly, the development of knowledge representation, knowledge extraction, knowledge fusion and knowledge inference are systematically summarized, their latest progress is discussed, and the technical difficulties in the construction of Chinese medical knowledge graph are analyzed. Secondly, the existing research on Chinese medical knowledge graph is illustrated from three perspectives of medical ontology, general practice knowledge graph and single disease medical knowledge graph. The research characteristics of Chinese medical knowledge graph are also analyzed. Finally, the application of medical know-ledge graph in semantic search, decision support and intelligent question answering are analyzed, and the new app-lication scenarios are discussed. In view of the challenges faced by Chinese medical knowledge graph, such as low standardization of terminology, lack of annotated corpus, insufficient technical research and limitations of applica-tion scenarios, the future research directions of Chinese medical knowledge graph are prospected.http://fcst.ceaj.org/fileup/1673-9418/PDF/1673-9418-16-10-2219.pdf|medical knowledge graph|knowledge representation|knowledge extraction|decision support|intelli-gent question answering |
spellingShingle | FAN Yuanyuan, LI Zhongmin Research and Application Progress of Chinese Medical Knowledge Graph Jisuanji kexue yu tansuo |medical knowledge graph|knowledge representation|knowledge extraction|decision support|intelli-gent question answering |
title | Research and Application Progress of Chinese Medical Knowledge Graph |
title_full | Research and Application Progress of Chinese Medical Knowledge Graph |
title_fullStr | Research and Application Progress of Chinese Medical Knowledge Graph |
title_full_unstemmed | Research and Application Progress of Chinese Medical Knowledge Graph |
title_short | Research and Application Progress of Chinese Medical Knowledge Graph |
title_sort | research and application progress of chinese medical knowledge graph |
topic | |medical knowledge graph|knowledge representation|knowledge extraction|decision support|intelli-gent question answering |
url | http://fcst.ceaj.org/fileup/1673-9418/PDF/1673-9418-16-10-2219.pdf |
work_keys_str_mv | AT fanyuanyuanlizhongmin researchandapplicationprogressofchinesemedicalknowledgegraph |