Research On Economic Information Fusion Of Network Agricultural Products Based On Knowledge Graph

The transformation from a big agricultural country to a powerful agricultural country,is bound to require our country to gradually transition from traditional agriculture to information-based modern agricultural industry,agricultural information construction is particularly important.However,the previous work mostly focused on the construction of agricultural information infrastructure,but the integration and utilization of agricultural information resources were a little insufficient.Guizhou Province,as a traditional agricultural province,has a large number of agricultural information resources,but various sources of information are heterogeneous,and each module of information is isolated from each other.The lack of matching mechanism of planting and production information,economic and trade information and other information forms an "information island",resulting in information redundancy.As an important part of the value chain of agricultural products,the concept of agricultural products and economic information are also one of the most typical types of information with heterogeneous characteristics in online agricultural information.Therefore,this paper has done the following research:(1)Through the method of network research,the current situation of network agricultural economic information and semantic heterogeneity such as the structure,information update frequency,agricultural classification structure,and economic information attributes of some agricultural product information websites are analyzed..(2)At the same time,based on knowledge graph theory and technology,combined with semantic web knowledge,reuse Schema.org ontology,and eliminate the semantic heterogeneity of agricultural product economic information through the method of ontology mapping.(3)Take Guizhou Province's characteristic agricultural products as the object,reuse existing agricultural product concepts(GACS,Food,etc.)related ontology,establish agricultural product economic information organization ontology and agricultural product classification conceptual ontology,integrate existing semantic similarity calculation methods,and implement it based on Networds graph operation The fusion experiment of agricultural static concept classification.(4)Finally,obtain the instance data of some target agricultural products,and realize the storage and visualization of the instance fusion data in the Neo4 j graph database.This paper systematically analyzes the phenomenon of semantic heterogeneity in the economic information of online agricultural products,and proposes a framework for heterogeneity elimination and a conceptual fusion framework to further deepen and enrich the theoretical system and methods of information fusion in the agricultural field.The exploration of multi-source network agricultural product economic information integration has also laid a foundation for agricultural product value chain information integration,and has certain practical value for further enhancing the value of agricultural information analysis and enhancing the interests of various stakeholders in the agricultural product value chain.