A KNOWLEDGE-BASED IDEATION APPROACH FOR BIO-INSPIRED DESIGN

Abstract Bio-inspired design (BID) involves generating innovative ideas for engineering by drawing inspiration from natural biological phenomena and systems, using a form of design-by-analogy. Despite its many successes, BID approaches encounter research challenges including unstructured data existing models that hinder comprehension processing, limited focus on finding knowledge compared to defined problems, insufficient guidance the ideation process with algorithms. This paper proposes knowledge-based approach address challenges. The transforming into structured knowledge, information about sources, their benefits, applications. is then used construct semantic network, enabling designers retrieve in two ways. Furthermore, three-step method developed encourage divergent thinking explore additional potential solutions utilizing knowledge. implemented as tool cases are conducted illustrate applying this BID.