Knowledge Extraction and Annotation for Cross-Domain Textual Case-Based Reasoning in Biologically Inspired Design

2016 ◽  
pp. 342-355 ◽  
Author(s):  
Spencer Rugaber ◽  
Shruti Bhati ◽  
Vedanuj Goswami ◽  
Evangelia Spiliopoulou ◽  
Sasha Azad ◽  
...  
Keyword(s):  
Knowledge Extraction ◽  
Case Based Reasoning ◽  
Biologically Inspired ◽  
Cross Domain ◽  
Biologically Inspired Design ◽  
Case Based

A content account of creative analogies in biologically inspired design

2010 ◽  
Vol 24 (4) ◽  
pp. 467-481 ◽  
Author(s):  
Swaroop S. Vattam ◽  
Michael E. Helms ◽  
Ashok K. Goel
Keyword(s):  
Sustainable Development ◽  
Engineering Design ◽  
Ad Hoc ◽  
Extended Period ◽  
Biological Knowledge ◽  
Biologically Inspired ◽  
Cross Domain ◽  
Engineering Problems ◽  
Biologically Inspired Design ◽  
Content Theory

AbstractThe growing movement of biologically inspired design is driven in part by the need for sustainable development and in part by the recognition that nature could be a source of innovation. Biologically inspired design by definition entails cross-domain analogies from biological systems to problems in engineering and other design domains. However, the practice of biologically inspired design at present typically isad hoc, with little systemization of either biological knowledge for the purposes of engineering design or the processes of transferring knowledge of biological designs to engineering problems. In this paper we present an intricate episode of biologically inspired engineering design that unfolded over an extended period of time. We then analyze our observations in terms ofwhy,what,how, andwhenquestions of analogy. This analysis contributes toward a content theory of creative analogies in the context of biologically inspired design.

Automatically Populating the Biomimicry Taxonomy for Scalable Systematic Biologically-Inspired Design

2012 ◽  
Author(s):  
Dennis Vandevenne ◽  
Paul-Armand Verhaegen ◽  
Simon Dewulf ◽  
Joost R. Duflou
Keyword(s):  
Hierarchical Classification ◽  
Biological Database ◽  
Support Vector ◽  
Biologically Inspired ◽  
Cross Domain ◽  
Large Numbers ◽  
Vector Machines ◽  
Database Size ◽  
Design By Analogy ◽  
Biologically Inspired Design

Although Biologically-Inspired Design (BID) is gaining popularity, state-of-the-art approaches for systematic BID are still limited by the required interactive work which is proportional to the applied biological database size. This interactive work, depending on the adopted methodology, might encompass model instantiation for each strategy in the biological database, classification into a predefined scheme or extensive result filtering. This contribution presents a first scalable approach to systematic BID with the potential to leverage large numbers of biological strategies. First, a focused webcrawler, based on a combination of Support Vector Machines (SVM), continuously searches for biological strategies on the Internet. The solution to this needle-in-a-haystack task is shown to produce biological strategies interesting for cross-domain Design-by-Analogy (DbA). These resources are then automatically positioned into Ask Nature’s well-known Biomimicry Taxonomy; a 3-level hierarchical classification scheme that enables designers to identify biological strategies relevant to their specific design problem. This paper details the architecture of the proposed system, and presents results indicating the feasibility of the applied approach.

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