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Knowledge graph and large language model synergy for food safety: Approaches and perspectives | Synapse
March 3, 2026
Knowledge graph and large language model synergy for food safety: Approaches and perspectives
HA
Haoxin An
University of Shanghai for Science and Technology
QD
Qingli Dong
University of Shanghai for Science and Technology
AD
Agapi Doulgeraki
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Key Points
Enhanced food safety outcomes can be achieved through the synergy of large language models and knowledge graphs.
A focus on algorithms shows potential for significant advancements in data integration for food safety.
Assessment using algorithms for data integration reveals promising approaches to enhance food safety systems.
This approach calls for further exploration in real-world applications to validate effectiveness and applicability.
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Cite This Study
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An et al. (Thu,) studied this question.
synapsesocial.com/papers/69a75d67c6e9836116a276d5
https://doi.org/https://doi.org/10.1016/j.tifs.2026.105592