关键词: 船舶试航, 超网络模型, 专家推荐, 技术知识

Abstract: To solve the problems such as the strong dependency of technical expert and the low accuracy of expert recommendations in sea trial process,a supernetwork-based expert recommendation approach was proposed according to the characteristics of technical activities in problem-solving process.Through the correlation between knowledge attributes,a supernetwork model composed of technical expert network,technical objects network and knowledge content network was constructed,and the relevant technical experts were recommended based on Bayesian method in the supernetwork.To evaluate the performance of the proposed approach,a series of comparison experiments were conducted.Experimental results showed that the proposed approach was more effective in finding experts on the problems in sea trial and improve the accuracy of expert recommendation by comparing with the traditional methods,which fully verified the efficiency and feasibility of the proposed approach.

Key words: sea trial, supernetwork model, expert recommendation, technical knowledge