Title: SEABIRD: Scalable sEarch for systemAtic Biologically-InspiRed Design
Authors: Vandevenne, Dennis ×
Verhaegen, Paul-Armand
Dewulf, Simon
Duflou, Joost #
Issue Date: Feb-2016
Publisher: Academic Press
Series Title: Artificial Intelligence for Engineering Design, Analysis and Manufacturing vol:30 issue:1 pages:78-95
Article number: 10.1017/S0890060415000177
Abstract: 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.
ISSN: 0890-0604
Publication status: published
KU Leuven publication type: IT
Appears in Collections:Centre for Industrial Management / Traffic & Infrastructure
× corresponding author
# (joint) last author

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