A scalable approach for ideation in biologically inspired design. Issue 1 (1st April 2014)

• Record Type: Journal Article
• Authors: Vandevenne, Dennis; Verhaegen, Paul-Armand; Dewulf, Simon; Duflou, Joost R.
• Is Part Of: AI EDAM. Volume 29:Issue 1(2015)
• Page Start: 19
• Page End: 31
• Publication Date: 2014-04-01
• Subjects: Engineering design -- Data processing -- Periodicals; Artificial intelligence -- Periodicals; Expert systems (Computer science) -- Periodicals; 620.00420285
• DOI: 10.1017/S0890060414000122
• Languages: English
• ISSNs: 0890-0604

Abstract

<abstract abstract-type="normal"> <title>Abstract</title> <p>This paper presents a bioinspiration approach that is able to scalably leverage the ever-growing body of biological information in natural-language format. The ideation tool AskNature, developed by the Biomimicry 3.8 Institute, is expanded with an algorithm for automated classification of biological strategies into the Biomimicry Taxonomy, a three-level, hierarchical information structure that organizes AskNature's database. In this way, the manual work entailed by the classification of biological strategies can be alleviated. Thus, the bottleneck is removed that currently prevents the integration of large numbers of biological strategies. To demonstrate the feasibility of building a scalable bioideation system, this paper presents tests that classify biological strategies from AskNature's reference database for those Biomimicry Taxonomy classes that currently hold sufficient reference documents.</p> </abstract>