This paper is in the following e-collection/theme issue:

Theme Issue 2022: Health Natural Language Processing and Applications (CHIP) (27) JMIR Theme Issue: COVID-19 Special Issue (2461) Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (1520)

Published on in Vol 10, No 5 (2022): May

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/37215, first published .
Construction of a Linked Data Set of COVID-19 Knowledge Graphs: Development and Applications

Construction of a Linked Data Set of COVID-19 Knowledge Graphs: Development and Applications

Construction of a Linked Data Set of COVID-19 Knowledge Graphs: Development and Applications

Authors of this article:

Haofen Wang1 Author Orcid Image ;   Huifang Du1 Author Orcid Image ;   Guilin Qi2 Author Orcid Image ;   Huajun Chen3 Author Orcid Image ;   Wei Hu4 Author Orcid Image ;   Zhuo Chen3 Author Orcid Image
Article Authors Cited by (4) Tweetations (4) Metrics

Journals

  1. Du H, Le Z, Wang H, Chen Y, Yu J. COKG-QA: Multi-hop Question Answering over COVID-19 Knowledge Graphs. Data Intelligence 2022;4(3):471 View
  2. Giancani S, Albertoni R, Catalano C. Quality of word and concept embeddings in targetted biomedical domains. Heliyon 2023;9(6):e16818 View
  3. Cai C, Jiang Z, Wu H, Wang J, Liu J, Song L. Research on knowledge graph-driven equipment fault diagnosis method for intelligent manufacturing. The International Journal of Advanced Manufacturing Technology 2024;130(9-10):4649 View

Books/Policy Documents

  1. Khorashadizadeh H, Tiwari S, Groppe S. Intelligent Systems and Machine Learning. View