Bayesian network is an effective method for quantitative risk assessment, but most existing studies are either heavily data-dependent or excessively expert-dependent. In this paper, knowledge graph, complex network theory and Bayesian network are integrated into a KCB model for data-driven risk assessment, especially small data situations. By applying knowledge graph with natural language processing, a causation graph could be extracted and illustrated from accident reports. Some indexes from complex network theor…