Box-type parts are multi-faceted, porous, and complex-shaped parts with various processing methods, which have a wide range of applications in the field of machinery manufacturing.A knowledge graph is a modern way of describing the relationship between knowledge in data.There are many structural models suitable for the description of the knowledge graph, such as the geometric characteristics of the part itself, the characteristics of the manufacturing process, the processing equipment used, the tools and other information.Through entity analysis, process analysis and manufacturing resource analysis, the intrinsic relationship between various entities can be found out, and attribute graph modeling can be established.Combined with the data instances of the given box-type parts, a knowledge graph is generated.Using graph data science, the data in the graph can be explored, such as the calculation of node feature similarity, and the retrieval and formulation of feature process information.This method provides assistance for engineers to rapidly design the process of box parts, improves design efficiency, and reduces design cost and design time.
Speakers: 胜海 邱
Format: Lighting Talk 10-15 min
Level: Intermediate
Topics: #GraphDataScience, #Cypher, #KnowledgeGraph, #APOC, #MachineLearning, #Manufacturing, #Intermediate
Region: APAC
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