Research and application of foodborne disease risk prevention based on knowledge graph technology

Abstract

ObjectiveTo study the research and application of foodborne disease risk prevention.MethodsTaking the knowledge graph as the carrier， through knowledge extraction and relationship mining on the technical guide for epidemiological investigation of food safety accidents and internet data， the association between the pathogenic factors of common foodborne diseases and clinical manifestations， incubation period， susceptible population and food sources was deeply explored and obtained.ResultsThe knowledge graph of foodborne diseases was constructed， including 390 nodes and 1 375 edges. On this basis， a knowledge question answering system was constructed to realize the automatic acquisition of answers to the clinical manifestations， susceptible populations， possible food sources and biological sample collection requirements of designated foodborne disease pathogenic factors.ConclusionThis research innovatively proposed the design of foodborne disease risk prevention system based on knowledge graph technology. Meanwhile， the constructed foodborne disease knowledge graph can effectively solve unclear definition of key information and serious data islands in the related detection of pathogenic factors. The question answering system built on this basis was of great practical importance to improve the public’s knowledge of foodborne disease risks and to correct the food safety knowledge and operational behaviors of health care professionals related to foodborne diseases.

Keywords

• foodborne disease
• pathogenic factors
• risk prevention
• knowledge graph
• knowledge question answering system