Data-driven knowledge mining technology in the field of health and dietary therapy
Facing the lack of knowledge research in the field of health and dietary therapy, which cannot meet the needs of health, a data-driven knowledge mining technology in the field of health and dietary therapy is proposed. Research has been conducted on structural and semi-structured data knowledge acquisition technology, text data knowledge extraction technology, and implicit relationship inference technology, and a knowledge graph of health and dietary therapy has been constructed. This knowledge graph can support accurate selection of health food therapy answers, meeting the recommendations of typical health recipes.
Authors
- Jiyang Dong (ORCID: https://orcid.org/0000-0002-1064-6548)
- Wen-Xiu Dong
- Shiying Li (ORCID: https://orcid.org/0000-0001-9544-2941)
Institutions
- Handan College (CN)
- Institute of Computing Technology (CN)
- Xi'an Jiaotong University (CN)
Publication Details
- Published
- 2025-05-19
- DOI
- https://doi.org/10.1117/12.3056954
- Primary Topic
- Data Mining Algorithms and Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.00