Article Details

Abstract

The intelligent transformation of the agricultural product supply chain is confronted with challenges such as semantic heterogeneity, information barriers, and inefficient collaborative decision-making, which severely restrict the overall efficiency improvement of the supply chain. To this end, this paper proposes an ontology modeling method integrating context awareness, aiming to enhance the knowledge sharing, dynamic response and collaborative reasoning capabilities of the supply chain. This method constructs a hierarchical supply chain model that includes top-level ontology and domain ontology, and integrates the theory of context awareness to establish a context ontology covering five dimensions: demand, logistics, process, resources and relationships, in order to formally describe the dynamic context of supply chain operation. On this basis, by establishing semantic associations among context, rules and entities, a rule-based dynamic collaborative reasoning mechanism is designed, enabling the supply chain model to automatically perceive environmental changes, trigger business rules and generate collaborative response schemes. The experimental results show that the framework proposed in this paper is significantly superior to the traditional methods in terms of reasoning accuracy and response agility, confirming its effectiveness in enhancing the intelligence level of the agricultural product supply chain.

Keywords

agricultural product supply chain; ontology modeling; context awareness; collaborative reasoning

References

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Funding

Natural Science Foundation of Zhejiang Province (LY23G020007)

About the authors

Ying Kai (2000-), male, Han ethnicity, from Hangzhou, Zhejiang, currently pursuing a master's degree in digital supply chain technology and its applications; Wu Yaohui (1979-), male, Han ethnicity, from Ningbo, Zhejiang, associate professor, PhD, research direction: digital supply chain technology and applications; Corresponding author: Shao Pengfei (1978-), male, Han ethnicity, from Ningbo, Zhejiang, professor, PhD, research direction: digital supply chain technology and applications.