Artificial Intelligence for Engineering Design, Analysis and Manufacturing vol:30 issue:1 pages:78-95
As more and more people are increasingly turning to nature for design inspiration, tools and methodologies are developed to support the systematic bio-ideation process. State-of-the-art approaches struggle with expanding their knowledge bases because of interactive work required by humans per biological strategy. As an answer to this persistent challenge, SEABIRD, Scalable sEarch for systemAtic Biologically-InspiRed Design, is proposed. SEABIRD is based on two conceptual representations, Product and Organism Aspects, extracted from respectively a patent and a biological database, that enable leveraging the ever growing body of natural-language biological texts in the systematic bio-inspired design process by eliminating interactive work by humans during corpus expansion. SEABIRD's search is illustrated and validated with three well-known Biologically-Inspired Design cases.