Design And Implementation Of Enterprise Credit Evaluation System Based On Knowledge Graph

Enterprises play an important role in China's economic development.Enterprise financing is an important step in the development and growth of enterprises,and enterprise credit evaluation is the basis of enterprise financing.In the past,corporate credit evaluation was completed by professionals in professional evaluation agencies.The entire process took a long time.Today,with the rapid development of the Internet,It is a reality to use computer technology to evaluate enterprise credit.This paper starts from the enterprise credit evaluation system.The paper first studies the definition and function of credit evaluation,and understands credit evaluation from an economic perspective.Then this paper studied the traditional enterprise credit evaluation model method,fully studied the traditional evaluation model method,understood their advantages and disadvantages,and finally decided to use the model scoring method as the method of evaluating corporate credit in this paper.Considering that the credit of an enterprise itself will be affected by the credit of the affiliated enterprise,for example,a branch of an enterprise has serious violations of the law,it will inevitably affect the credit evaluation of the enterprise.Therefore,in this paper,the knowledge graph is used as a tool to establish the enterprise association graph,and the calculation of the enterprise credit can more accurately determine the enterprise credit.In order to build an enterprise association graph and an enterprise credit evaluation system,sufficient enterprise-related data,such as enterprise basic information,enterprise financial information,enterprise tax information,and enterprise judicial information,are required.This paper uses python language and selenium tools to implement web crawler programs.It can obtain relevant corporate data from Internet.Save the data in the MySQL database,use the neo4j graph database to store the knowledge graph and provide the data needed to visualize the knowledge graph as a service,and finally based on Java,JavaScript language as the system implementation language to build enterprise credit evaluation system.The traditional expert evaluation method mainly focuses on the financial data of the enterprise.The data dimension is relatively single and the data collection and expert evaluation require a large time cost.These are the problems this paper attempts to solve.Knowledge graph-based enterprise credit evaluation system is a user-oriented network system,it is simple to operate,can quickly analyze the enterprise credit information that needs to be understood,and because its data comes from Internet data,compared with traditional credit evaluation data,there will be more dimensions can make a more comprehensive evaluation of corporate credit.This system is not only suitable for banks,securities and other financial professional institutions,but also for ordinary users.It is a powerful tool for users to query corporate information and understand corporate credit status.