The Design And Implementation Of Relation Graph Of Figures And Enterprises In Capital Market Enterprise Information System

In the era of Internet + big data,decision making is increasingly based on data and analysis,rather than experience and intuition.In recent years,with the successful application of individual “user portraint” on consumption,credit and other areas,how to characterize and modeling the figures and enterprises in the capital market in all directions and multi-angle is becoming a new hot spot in the field of financial supervision and investment.Based on the author 's actual project development in the stock exchange,this paper designs and implements an information system based on the capital market figures and the enterpri se relationship graph as the main data model for the regulatory demand of the stock exchange in the capital market.The relation graph of figures and enterprises in capital market in this paper is the application of knowledge map technology in the vertical field of capital market.Knowledge graph technology has been effective in improving the quality and efficiency of search engine service since been first released by Google in 2012.In this paper,by referring to the general construction framework of knowledge graph technology,the authur proposes a relational graph construction scheme based on entity acquisition and entity relation extraction as the main means.In the aspect of entity acquisition,the deep learning technique is used to construct the learning model of the named entity in the text corpus with the short term memory learning network as the corpus feature learning model and the conditional random field as the sequence annotation model.In relation extraction,with domain knowledge and business requirements,from the company's annual report and other semi-structured data,matching rules are defined to extract the entity relationship.In addition,there is the design and implementation of the relationship graph in the system query and display function,providing a good visual service and interactive functions.The design and implementation of relation graph in this paper is a model based on multi-source heterogeneous data,which has the characteristics of high information density,high level of abstraction and wide application range.The achievement can be widely used in the stock exchange continuously monitoring the listed companies and market monitoring and law enforcement,and the issuance of audit and investment and financing docking business.So the result contains important value to support China's multi-level capital market construction.