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Research Article

A C-RFBS model for the efficient construction and reuse of interpretable design knowledge records across knowledge networks

, , , &
Pages 497-513 | Received 26 Apr 2021, Accepted 28 May 2021, Published online: 30 Jun 2021

Figures & data

Table 1. Cognitive characteristics of knowledge network.

Figure 1. The C-RFBS knowledge representation scheme.

Figure 1. The C-RFBS knowledge representation scheme.

Table 2. Concepts and their interpretations during the cognitive process in design.

Figure 2. The cognitive process of multiple knowledge groups.

Figure 2. The cognitive process of multiple knowledge groups.

Figure 3. The multi-level representation of structure, behaviour, function, and requirements.

Figure 3. The multi-level representation of structure, behaviour, function, and requirements.

Figure 4. Entity categories in design event graph.

Figure 4. Entity categories in design event graph.

Table 3. Different categories of event relationships in the design event graph.

Figure 5. A schema for representing the relationships between event entities and conceptual entities.

Figure 5. A schema for representing the relationships between event entities and conceptual entities.

Figure 6. Multi-dimensional path model for central nodes.

Figure 6. Multi-dimensional path model for central nodes.

Figure 7. Frame structure of the event graph in the design domain.

Figure 7. Frame structure of the event graph in the design domain.

Figure 8. System architecture of the knowledge retrieval platform.

Figure 8. System architecture of the knowledge retrieval platform.

Figure 9. The FBS process during the fork design case.

Figure 9. The FBS process during the fork design case.

Table 4. A requirement about 500 kg rotary fork.

Table 5. Contents and symbols of the Function, Behavior and Structure nodes.

Figure 10. An example of the assimilation process in the fork design case.

Figure 10. An example of the assimilation process in the fork design case.

Figure 11. The newly generated functional structure.

Figure 11. The newly generated functional structure.

Figure 12. Reuse relationship between the knowledge groups.

Figure 12. Reuse relationship between the knowledge groups.

Figure 13. The accommodation process during the fork design.

Figure 13. The accommodation process during the fork design.

Figure 14. Knowledge graphs generated and stored in the neo4j database.

Figure 14. Knowledge graphs generated and stored in the neo4j database.

Figure 15. Schematic diagram of part-of-speech tagging and dependency parsing.

Figure 15. Schematic diagram of part-of-speech tagging and dependency parsing.

Figure 16 Retrieval algorithm flow of the platform.

Figure 16 Retrieval algorithm flow of the platform.

Figure 17. Main operating logic of the knowledge retrieval platform.

Figure 17. Main operating logic of the knowledge retrieval platform.

Figure 18. The knowledge retrieval platform.

Figure 18. The knowledge retrieval platform.

Table 6. Comparison of the C-RFBS model with several similar previous models.