Construction of Multi-modal Knowledge Graph Based on Medical Social Media Data

Corresponding author: QIAN Guiping, qianguiping@163.com

DOI: 10.12201/bmr.202209.00005

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  Abstract: A multi-modal knowledge graph construction method is proposed based on medical social media data. By using semantic association, word frequency statistics, sentiment analysis, visual entity recognition and other technologies, this paper analyzes and summarized multi-modal knowledge from medical social media data, extracts three categories of modal information including domain knowledge, text knowledge and visual knowledge, and then establishes semantic association between the existing ontology and these three categories of modal knowledge to improve the integrity and intelligence of the knowledge graph. Multi-modal knowledge fusion lays a foundation to effectively improve the intelligence of medical expert system.

  Key words: knowledge graph; multi-modal; eczema; ontology construction; medial data analysis

  Submit time: 2 September 2022

  Copyright: The copyright holder for this preprint is the author/funder, who has granted biomedRxiv a license to display the preprint in perpetuity.
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• ID	Submit time	Number	Download
  1	2022-06-16	bmr.202209.00005V1	Download

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