Research on the construction method of extrusion die ontology and knowledge graph for knowledge reuse

doi:10.16731/j.cnki.1671-3133.2025.08.009

Abstract

Abstract: Aiming at the problems that the production design of aluminum profile extrusion die field relies heavily on the knowledge and experience of designers,the design process knowledge is difficult to reuse,and the experience knowledge resources are lost,the knowledge representation model of extrusion die ontology was proposed,and the construction method of Extrusion Die Knowledge Graph (EDKG) was explored. The rule experience related to die design and aluminum profile extrusion production was summarized as general knowledge,and the knowledge graph model layer of extrusion die was completed by seven-step method of ontology construction. An unsupervised knowledge extraction algorithm based on IA-DBSCAN was proposed. By fusing the entity feature weights of word embedding,information entropy and word frequency-inverse document frequency,the knowledge concepts extracted from the text data in the field of large-scale extrusion die were added to the knowledge graph data layer to realize the logical interaction between the model layer and the data layer. Finally,through the mapping rule R2RML of the resource description framework file,the data storage and visualization of the Neo4j graph database were realized by taking the aluminum profile extrusion die as a case,which can visually display the correlation between multi-dimensional information such as die design,material properties and processing technology,and promote the integration and standardization of knowledge in the field of die processing.

Key words: knowledge graph, extrusion die, ontology construction, knowledge extraction, Neo4j graph database

CLC Number:

TP391.1
TG76

WANG Peilong, QIN Hao, HAO Xiaoxi, ZHANG Yu. Research on the construction method of extrusion die ontology and knowledge graph for knowledge reuse[J]. Modern Manufacturing Engineering, 2025, 539(8): 79-92.

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