Construction and Retrieval of New Ventures’ Growth Risk Case Based on Knowledge Gene Expression Method

Abstract

Constructing a knowledge service model of risk cases to realize the internal and external risks of new ventures is an important means of its risk management and prevention. And case expression is the key to improving the efficiency of case retrieval and reasoning. Combining the basic characteristics of new ventures, this paper constructs a gene mapping of growth risk cases based on knowledge gene expression, which includes a three-layer factors structure of Risk-Countermeasures-Effector. The gene mapping constructed in this paper has an excellent systemic and hierarchical structure, reflecting the connection between sub-factors, and also describes the risk case knowledge clearly and progressively. It makes up for the shortcomings of traditional ontology and structural representation and improves the efficiency of case storage and retrieval, while providing managers with a decision-making reference. In addition, this paper uses the longest common sub-sequence algorithm to evaluate the similarity of the risk level of cases, which is used for the preliminary retrieval of risk cases. Finally, the advantages of risk case representation based on knowledge gene expression compared with the framework and ontology model are compared, and the model of risk case retrieval is constructed.