Knowledge service method for 3D printing cloud platform based on user knowledge stock

To improve the knowledge service capability of 3D printing cloud service platform, and to meet the personalized knowledge needs of users in product development tasks on the platform, a knowledge service method based on user knowledge stock was proposed. Considering users' knowledge needs and task knowledge needs comprehensively, a knowledge service method model was established based on the analysis of task flow and knowledge service characteristics of 3D printing cloud platform. The user knowledge system was constructed, and the knowledge inventory and knowledge demand were quantitatively measured according to the user task performance. The ontology of 3D printing knowledge domain was constructed. Based on the ontology, the knowledge resource and task were modeled. The semantic similarity between the task and the knowledge resource and the user's knowledge demand were used to calculate the knowledge recommendation coefficient to filter the knowledge resource and realize the user's personalized knowledge service. A design task of toy cars on 3D printing cloud platform was presented as an example to verify the feasibility and effectiveness of the proposed method. © 2020, Editorial Department of CIMS. All right reserved.