Ontology reasoning of start-ups' growth risk based on immune system

Abstract

Under the background of “Internet +” and “dual innovation,” start-ups are faced with huge, complex, and diverse growth risks with sudden, dominant, and dynamic characteristics during the growth process. It is significant to identify these risks accurately during the growth and development of new ventures. This paper draws on the theory of biological immune system, combines the ontology with the growth risk of start-ups, and uses SWRL and Jess engine to build an ontology knowledge base of start-ups' growth risk to identify various risks in the growth process of start-up. The results show that the ontology model supports the risk identification based on semantic reasoning and can improve the accuracy of the growth risk identification of start-ups. What's more, it provides new ideas for the research on the growth risk identification of new start-ups.