Gene Mapping Construction and Retrieval of New Ventures' Growth Risk Cases

Abstract

Solving the problem of non-biological fields through biological gene theory has become a hot issue in recent years. Based on this perspective, this paper applies it to the problem of case expression and storage in the knowledge service model of new ventures' growth risk. Abandoning the shortcomings of ontology and structural expression and combining the advantages of both, it realizes the application of gene mapping expression in the new field, namely new ventures risk management. The gene mapping constructed in this paper includes a three-layer factors structure of Risk-Countermeasure-Effector, which has excellent systemic and hierarchy. The growth risk information storage structure of the new ventures is clearly defined by the gene mapping expression method. It not only improves the response efficiency of the risk warning system, but also enables the storage and reuse of historical risk cases, while improving the decision-making efficiency and scientific of managers. In addition, it also describes the search methods that can be used to retrieve growth risk cases based on gene mapping, as well as the mechanisms of the each step of risk case retrieval.