Risk-Oriented Financial Data Semantic Modeling

In the financial crisis, many enterprises suffer great losses. The mainly reason is the deficiency in financial forecast derived from the shortcoming of financial data model. The legacy financial data model just shows the assets amount of an enterprise and the proprietorship of its assets. Traditional data model couldnpsilat show the stockholders the risk of the enterprisespsila operating, we engage in building a new financial data model to forecast and disclosure the risk of enterprisepsilas operating, on the basis of semantic analysis we construct the time span information framework, the excellent performance we do in our initiative work in temporal financial data modeling, we build a risk-oriented financial data model to providing the information about the future of an enterprise.