Analogical stimuli retrieval approach based on R-SBF ontology model

• Lizhen Jia ^[1] ; Qingjin Peng ^[2] ; Runhua Tan ^[1] ; Xuehong Zhu ^[1]
  1. [1] Hebei University of Technology

     Hebei University of Technology

     China

     
  2. [2] University of Manitoba

     University of Manitoba

     Canadá

     
• Localización: Journal of Engineering Design, ISSN 0954-4828, Vol. 30, Nº. 10-12, 2019 (Ejemplar dedicado a: Ontological Engineering for Supporting Semantic Reasoning in Design), págs. 599-624
• Idioma: inglés
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• Resumen

  • Analogy-based design is an effective approach for innovative design involving knowledge representation, analogical sources retrieval, mapping between two systems, and adaptation of candidate solutions. The knowledge representation is the first task to determine whether analogy can be implemented successfully. It is, therefore, necessary to have an efficient description method for knowledge representation and information retrieval. Based on the Structure-Behaviour-Function (SBF) model, this paper proposes an R-SBF model to integrate the flow, structure, behaviour and function of design knowledge. Relational types of states are used to describe the information behaviour with relations of ‘and’, ‘or’, ‘not’, ‘sequence’, ‘parallel’ and ‘feedback’. The R-SBF ontology model is constructed using the ontology editing tool Protégé 5.2.0 to link the knowledge representation and analogues retrieval. In the proposed algorithm of computing function similarity, both the semantic similarity and conceptual correlation are considered for the query scalability. The evaluation criteria for feasibility include Recall, Precision, and F-measure. An analogy-aided design innovation software prototype is developed to support the design activity. The improvement of a robot vacuum cleaner is discussed as an example of applications of the proposed method. The solution illustrates the effectiveness of the analogical stimuli to facilitate the design performance.