Research on the construction and application of academic knowledge graph for knowledge service systems

Corresponding author: HOU Li, hou.li@imicams.ac.cn

DOI: 10.12201/bmr.202402.00015

•  

  Abstract: Purpose/Significance To analyze the construction framework and process of the academic knowledge graph for knowledge service systems, and provide reference for the development of new knowledge services based on scientific and technological data. Method/Process Proposes the framework and scheme for constructing an academic knowledge graph for knowledge service systems, and takes the Medical Knowledge Service System as an example to elaborate the construction steps and technologies in detail. Result/Conclusion Constructing academic knowledge graph based on multiple types of data resources is instrumental in carrying out academic entity association mining and knowledge reasoning, improving the performance of scientific and technological data organization and management, and delivering more efficient knowledge services.

  Key words: academic knowledge graph; knowledge service system; scientific and technological data; intelligent retrieval

  Submit time: 15 March 2024

  Copyright: The copyright holder for this preprint is the author/funder, who has granted biomedRxiv a license to display the preprint in perpetuity.
• html

• 图表

• zhouyang, Kuang Zemin. Research progress，s application of medical knowledge graph. 2021. doi: 10.12201/bmr.202107.00012

  ZHOU Hai, PENG Feiling, WEI Changfa. Research and Practice on the Construction of Syndrome Differentiation Knowledge Graph of Diagnostics of Traditional Chinese Medicine. 2020. doi: 10.12201/bmr.202004.00036

  liangjing, wenyi. Research on the Application of Knowledge Graph in Medical Aided Diagnosis. 2022. doi: 10.12201/bmr.202109.00021

  Li Xiaoying, Cai Miaozhi, Li Junlian, Ren Huiling, Ji Yujing, Deng Panpan, Xia Guanghui. Research on the construction of COVID-19 knowledge graph for literature organization. 2020. doi: 10.12201/bmr.202010.00840

  WANG Huaqiong, YU Dingguo, QIAN Guiping. Construction of Multi-modal Knowledge Graph Based on Medical Social Media Data. 2022. doi: 10.12201/bmr.202209.00005

  FU Taotao, CHEN Yanmei, LI Qingna, SHAO Yiming, SU Guobin, GONG Mengchun. Construction and application of traditional Chinese medicine knowledge graph based on the Chinese Pharmacopoeia. 2024. doi: 10.12201/bmr.202407.00039

  Fang Pan, Cao Yu-Ting, Ding Zi-Xiao, Zhang Shun, Li Zhao-Rong, Zeng Zhen-Yu, Zhu Rui. Preliminary Study on the Construction and Application of Proactive Healthcare Knowledge Graph for the Elderly Population in Community Setting. 2023. doi: 10.12201/bmr.202303.00038

  WU Meng, LI Jiao. Construction of multimodal perinatal health care knowledge graph towards continuing medical education. 2024. doi: 10.12201/bmr.202402.00008

  wuhuan, hekunlun. Construction of general medical knowledge graph based on evidence-based medicine and electronic medical record data. 2024. doi: 10.12201/bmr.202409.00027

  Zhao Hanqing. Knowledge reasoning and intelligent recommendation based on knowledge map of Chinese patent medicine. 2024. doi: 10.12201/bmr.202404.00018

• ID	Submit time	Number	Download
  1	2024-02-26	bmr.202402.00015V1	Download

• Public  Anonymous  To author only Submit Comments