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Bioinspire-Explore: Taxonomy-Driven Exploration of Biodiversity Data for Bioinspired Innovation.

Adrien Saint-SardosAnnabelle AishNikolay TchakarovThierry BourgoinLuce-Marie PetitJian-Sheng SunRégine Vignes-Lebbe
Published in: Biomimetics (Basel, Switzerland) (2024)
Successful bioinspired design depends on practitioners' access to biological data in a relevant form. Although multiple open-access biodiversity databases exist, their presentation is often adapted to life scientists, rather than bioinspired designers. In this paper, we present a new tool, "Bioinspire-Explore", for navigating biodiversity data in order to uncover biological systems of interest for a range of sectors. Bioinspire-Explore allows users to search for inspiring biological models via taxa (species, genera, etc.) as an entry point. It provides information on a taxon's position in the "tree of life", its distribution and climatic niche, as well as its appearance. Bioinspire-Explore also shows users connections in the bioinspiration literature between their taxon of interest and associated biological processes, habitats, and physical measurements by way of their semantic proximity. We believe Bioinspire-Explore has the potential to become an indispensable resource for both biologists and bioinspired designers in different fields.
Keyphrases
  • big data
  • electronic health record
  • systematic review
  • primary care
  • physical activity
  • mental health
  • minimally invasive
  • machine learning
  • artificial intelligence
  • health information
  • social media
  • general practice