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International Conference on Case-Based Reasoning

ICCBR 2013: Case-Based Reasoning Research and Development pp 343–357Cite as

Biological Solutions for Engineering Problems: A Study in Cross-Domain Textual Case-Based Reasoning

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 7969))

Abstract

Textual Case-based Reasoning (TCBR) is a powerful paradigm within CBR. Biologically inspired design – the invention of technological systems by analogy to biological systems - presents an opportunity for exploring cross-domain TCBR. Our in situ studies of the retrieval task in biologically inspired design identified findability and recognizability of biology articles on the Web relevant to a design problem as major challenges. To address these challenges, we have developed a technique for semantic tagging of biology articles based on Structure-Behavior-Function models of the biological systems described in the article. We have also implemented the technique in an interactive system called Biologue. Controlled experiments with Biologue indicate improvements in both findability and recognizability of useful biology articles. Our work suggests that task-specific but domain-general model-based tagging might be useful for TCBR in support of complex reasoning tasks engaging cross-domain analogies.

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Author information

Authors and Affiliations

  1. Design & Intelligence Lab, School of Interactive Computing, Georgia Institute of Technology, Atlanta, GA, 30332, USA

    Swaroop S. Vattam & Ashok K. Goel

Authors
  1. Swaroop S. Vattam
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  2. Ashok K. Goel
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Editor information

Editors and Affiliations

  1. School of Computing, Dublin Institute of Technology, Kevin Street, 8, Dublin, Ireland

    Sarah Jane Delany

  2. Department of Computer Science, Drexel University, 3141 Chestnut Street, 19104, Philadelphia, PA, USA

    Santiago Ontañón

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© 2013 Springer-Verlag Berlin Heidelberg

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Vattam, S.S., Goel, A.K. (2013). Biological Solutions for Engineering Problems: A Study in Cross-Domain Textual Case-Based Reasoning. In: Delany, S.J., Ontañón, S. (eds) Case-Based Reasoning Research and Development. ICCBR 2013. Lecture Notes in Computer Science(), vol 7969. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-39056-2_25

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  • DOI: https://doi.org/10.1007/978-3-642-39056-2_25

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-39055-5

  • Online ISBN: 978-3-642-39056-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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