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Intelligent Search for Biologically Inspired Design

Authors:

Evangelia Spiliopoulou,

Arvind Krishnaa JagannathanAuthors Info & Claims

IUI '15 Companion: Companion Proceedings of the 20th International Conference on Intelligent User Interfaces

Pages 77 - 80

https://doi.org/10.1145/2732158.2732182

Published: 29 March 2015 Publication History

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Abstract

In Biologically Inspired Design (BID), engineers use biology as a source of ideas for solving engineering problems. However, locating relevant literature is difficult due to vocabulary differences and lack of domain knowledge. IBID is an intelligent search mechanism that uses a functional taxonomy to direct search and a formal modeling notation for annotating relevant search targets.

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Cited By

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Chen CLi YTao YChen JLiu QLi S(2020)A method to automatically push keywords for biological information searching in bio-inspired designProceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science10.1177/0954406220932595235:1(30-47)Online publication date: 17-Jun-2020
https://doi.org/10.1177/0954406220932595
Svendsen NLenau T(2019)How Does Biologically Inspired Design Cope with Multi-Functionality?Proceedings of the Design Society: International Conference on Engineering Design10.1017/dsi.2019.381:1(349-358)Online publication date: 26-Jul-2019
https://doi.org/10.1017/dsi.2019.38
Kruiper RVincent JAbraham ESoar RKonstas IChen-Burger JDesmulliez M(2018)Towards a Design Process for Computer-Aided BiomimeticsBiomimetics10.3390/biomimetics30300143:3(14)Online publication date: 21-Jun-2018
https://doi.org/10.3390/biomimetics3030014
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Index Terms

Intelligent Search for Biologically Inspired Design
1. Human-centered computing

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Published In

IUI '15 Companion: Companion Proceedings of the 20th International Conference on Intelligent User Interfaces

March 2015

164 pages

ISBN:9781450333085

DOI:10.1145/2732158

General Chairs:
Oliver Brdiczka
Vectra Networks, Inc.
,
Polo Chau
Georgia Tech
,
Program Chairs:
Giuseppe Carenini
University of British Columbia
,
Shimei Pan
University of Maryland
,
Per Ola Kristensson
University of Cambridge

Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 29 March 2015

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IUI'15

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IUI'15: IUI'15 20th International Conference on Intelligent User Interfaces

March 29 - April 1, 2015

Georgia, Atlanta, USA

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IUI '15 Companion Paper Acceptance Rate 47 of 205 submissions, 23%;

Overall Acceptance Rate 746 of 2,811 submissions, 27%

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Cited By

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Chen CLi YTao YChen JLiu QLi S(2020)A method to automatically push keywords for biological information searching in bio-inspired designProceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science10.1177/0954406220932595235:1(30-47)Online publication date: 17-Jun-2020
https://doi.org/10.1177/0954406220932595
Svendsen NLenau T(2019)How Does Biologically Inspired Design Cope with Multi-Functionality?Proceedings of the Design Society: International Conference on Engineering Design10.1017/dsi.2019.381:1(349-358)Online publication date: 26-Jul-2019
https://doi.org/10.1017/dsi.2019.38
Kruiper RVincent JAbraham ESoar RKonstas IChen-Burger JDesmulliez M(2018)Towards a Design Process for Computer-Aided BiomimeticsBiomimetics10.3390/biomimetics30300143:3(14)Online publication date: 21-Jun-2018
https://doi.org/10.3390/biomimetics3030014
Yang ZChen YLiu Z(2017)Elliptic Fourier analysis and perceptual matching for the evaluation of bioinspired sketching in conceptual designArtificial Intelligence for Engineering Design, Analysis and Manufacturing10.1017/S089006041700025732:1(92-107)Online publication date: 14-Aug-2017
https://doi.org/10.1017/S0890060417000257
Rugaber SBhati SGoswami VSpiliopoulou EAzad SKoushik SKulkarni RKumble MSarathy SGoel A(2016)Knowledge Extraction and Annotation for Cross-Domain Textual Case-Based Reasoning in Biologically Inspired DesignCase-Based Reasoning Research and Development10.1007/978-3-319-47096-2_23(342-355)Online publication date: 29-Sep-2016
https://doi.org/10.1007/978-3-319-47096-2_23

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Recommendations

Biologically Inspired Design: A New Program for Computational Sustainability

An information-processing account of creative analogies in biologically inspired design

Representation, indexing, and retrieval of biological cases for biologically inspired design