Ginger Product Price Information Based on Semantic Heterogeneity of Multisource Network Information

Abstract

In order to improve prices of ginger products information service, promote the transmission and interaction between prices of ginger products information data, agricultural products are roughly divided into nine categories. Through network research, the price information of agricultural products on the Internet is analyzed. According to the hierarchical theory of information processing, three types of semantic heterogeneity of schema, contextual data, and individual anomaly data with hierarchical progressive relationship are proposed. The results show that almost 100% of the main attributes exist in the network information sources, in addition, more than 80% of the websites have type differentiation of agricultural products, and less is provided for attributes such as specification and origin, which also have an impact on the price of agricultural products. Through the network information source, the attribute characteristics of multisource network prices of ginger products information are grasped, and the classification characteristics of existing semantic heterogeneity are combined, and it provides a strong support for constructing the classification system of semantic heterogeneity of prices of ginger products information.