| The financial sector is facing the problem of a sharp increase in data.In the past few decades,traditional financial data analysis experts have structured a large amount of collected financial data,continuously improved its quality,and displayed the sorted data to users.If you want to use these data safely and analyze and mine them,it is not enough to rely on manpower alone.This requires the use of knowledge maps to perceive and predict risks based on the requirements of the times.The semantic representation of the knowledge graph is a key link.Through operations such as the preprocessing of the knowledge base,entities and relationships are clearly separated,so as to realize the construction,analysis,and reasoning of the knowledge graph and other important applications.However,the existing semantic representation only considers the knowledge on the surface of the knowledge graph.In order to improve the accuracy of the semantic representation,this paper proposes a text knowledge enhancement API method to study the semantic enhancement representation of the knowledge graph and its application in financial risk control.The comprehensive utilization of financial risk knowledge provides a basis for identifying potential risks in the business.This paper takes knowledge graph as the core,firstly introduces the DBpedia data set expansion context and knowledge extraction method,and proposes the semantic enhancement representation method of knowledge graph,that is,text knowledge enhancement API.The named entity recognition and relationship search in the working process of the text knowledge enhancement API are introduced in detail,which lays the foundation for the construction of the knowledge graph in the financial field.Then,through the analysis of the financial business risk model,the financial business risk ontology is constructed,and the Jean inference engine is used to conduct a reasoning experiment analysis on the knowledge ontology.Finally,on the basis of the financial business ontology and text knowledge enhancement API,a financial risk knowledge graph is constructed to verify the effectiveness of the text knowledge enhancement API in the text enhancement representation,so that the financial industry can achieve accurate risk identification and timely The defensive control greatly shortens the reaction time and makes the management of the financial industry more secure. |
