SEABIRD: Scalable search for systematic biologically inspired design. Issue 1 (29th April 2015)

• Record Type: Journal Article
• Authors: Vandevenne, Dennis; Verhaegen, Paul-Armand; Dewulf, Simon; Duflou, Joost R.
• Is Part Of: AI EDAM. Volume 30:Issue 1(2016)
• Page Start: 78
• Page End: 95
• Publication Date: 2015-04-29
• Subjects: Bioinspired Design, -- Biologically Inspired Design, -- Biomimicry, -- Creativity and Ideation; Engineering design -- Data processing -- Periodicals; Artificial intelligence -- Periodicals; Expert systems (Computer science) -- Periodicals; 620.00420285
• DOI: 10.1017/S0890060415000177
• Languages: English
• ISSNs: 0890-0604

Abstract

Abstract: As more and more people are increasingly turning to nature for design inspiration, tools and methodologies are developed to support the systematic bioideation 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, a scalable search for systematic biologically inspired design (SEABIRD) system is proposed. This system leverages experience from the product aspects in design by analogy tool that identifies candidate products for between-domain design by analogy. 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 bioinspired 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.