Research On The Model Of Logistics Financial Risk Association Mining Based On Ontology

In traditional logistics financial risk early-warning and pre-control research,the linear causality between risks and risk events is often emphasized.However,in reality,the causal mechanism of logistics financial risk events is a complex scenario formed by the interaction,integration,and upgrade of risks In order to better promote the healthy development of logistics finance and reduce the frequency of risk events,it is necessary to study the correlation characteristics and patterns of risks.First,the relevant literatures on logistics financial risk,risk correlation analysis,and ontology were sorted out and summarized,including risk management theory,risk correlation theory,ontology theory,and data mining principles and methods.Secondly,from the three aspects of the connotation of logistics risk,the concept and characteristics of logistics financial risk,and the types and causes of logistics financial risk,this paper expounds the structure of logistics financial risk system.Furthermore,by collecting relevant literature and consulting experts in the field,extracting and analyzing core concepts in the field of logistics financial risk and constructing a terminology set of core concepts in the field,and on the basis of fully considering the risk correlation model and characteristics,the OntoLFR logistics ontology framework was designed.Based on the logistics financial risk ontology framework,the logistics financial risk ontology model LFROM is constructed from three levels: class layer,attribute layer and instance layer.Then,the Apriori data mining algorithm is used to mine the association rules between risks and risks in the hidden danger database of logistics financial risk events and loaded into the constructed ontology model LFROM.Finally,a case study of the risk event(RW_risk)of the financial company's rollover was designed and calculated using the ontology model LFROM to verify the semantic analysis and risk reasoning capabilities of the logistics financial risk ontology model.This paper aims to construct a logistics financial risk ontology model LFROM from the perspective of risk correlation,and use this model to reason about potential risks in the field of logistics finance,to provide decision-making basis for risk managers,and to safeguard the healthy development of logistics finance.