Knowledge representation framework combining case-based reasoning with knowledge graphs for product design

Abstract

Product design relies on various design knowledge, including explicit design knowledge and tacit design knowledge. This paper aims at issues that the current design knowledge representation methodology lacks scalability and flexibility, and presents a design knowledge representation framework combining CBR with knowledge graphs. Based on the framework, design cases are represented as a set of knowledge graphs. An ontology model for design case representation is proposed. A novel approach to retrieving design cases from knowledge graphs is presented, which uses a design problem query graph instead of keywords to match similar case subgraphs from knowledge graphs. A semantic similarity assessment method based on subgraph similarity is proposed. Finally a case study on knowledge representation for stamping die design is provided.