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.
Access provided by Autonomous University of Puebla. Download to read the full chapter text
Chapter PDF
Similar content being viewed by others
Keywords
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
References
Benyus, J.: Biomimicry: Innovation Inspired by Nature. William Morrow (1997)
Biomimicry Institute (2008), Ask Nature – The Biomimicry Design Portal, http://www.asknature.org/
Burke, R., Hammond, K., Kulyukin, V., Lytinen, S., Tomuro, N., Schoenberg, S.: Question answering from frequently-asked questions files: experiences with the FAQ Finder system. AI Magazine 18(1), 57–66 (1997)
Brüninghaus, S., Ashley, K.: The role of information extraction for textual CBR. In: Aha, D.W., Watson, I. (eds.) ICCBR 2001. LNCS (LNAI), vol. 2080, pp. 74–89. Springer, Heidelberg (2001)
Chakrabarti, A., Sarkar, P., Leelavathamma, B., Nataraju, B.: A functional representation for aiding biomimetic and artificial inspiration of new ideas. AIEDAM 19, 113–132 (2005)
Chiu, I., Shu, L.: Biomimetic design through natural language analysis to facilitate cross-domain analysis. AIEDAM 21, 45–59 (2007)
Goel, A., Bhatta, S., Stroulia, E.: Kritik: An Early Case-Based Design System. In: Maher, Pu (eds.) Issues and Applications of Case-Based Reasoning in Design, pp. 87–132 (1997)
Goel, A., Mahesh, K., Peterson, J., Eiselt, K.: Unification of Language Understanding, Device Comprehension and Knowledge Acquisition. In: Proc. Cognitive Science Meeting 1996 (1996)
Goel, A., Rugaber, S., Vattam, S.: Structure, Behavior & Function of Complex Systems: The SBF Modeling Language. AIEDAM 23, 23–35 (2009)
Goel, A., Vattam, S., Wiltgen, B., Helms, M.: Cognitive, collaborative, conceptual and creative - Four characteristics of the next generation of knowledge-based CAD systems: A study in biologically inspired design. Computer-Aided Design 44(10), 879–900 (2012)
Helms, M., Vattam, S., Goel, A.: The Effects of Functional Modeling on Understanding Complex Biological Systems. In: Proc. 2010 ASME IDETC/CIE, Montreal, Canada (2010)
Holyoak, K., Thagard, P.: Analogical Retrieval by Constraint Satisfaction. Cognitive Science 13(3), 295–355 (1989)
Kolodner, J.: Case-Based Reasoning. Morgan Kaufmann Publishers, San Mateo (1993)
Lenz, M.: Defining knowledge layers for textual case-based reasoning. In: Smyth, B., Cunningham, P. (eds.) EWCBR 1998. LNCS (LNAI), vol. 1488, pp. 298–309. Springer, Heidelberg (1998)
Nagel, J., Stone, R., McAdams, D.: An engineering-to-biology thesaurus for engineering design. In: Proc. ASME 2010 IDETC/CIE, Montreal, Canada (2010)
Peterson, J., Mahesh, K., Goel, A.: Situating Natural Language Understanding in Experience-Based Design. IJHCS 41, 881–913 (1994)
Pirolli, P.: Information foraging theory: Adaptive interaction with information. Oxford University Press, Oxford (2007)
Raghunandan, M.A., Wiratunga, N., Chakraborti, S., Massie, S., Khemani, D.: Evaluation Measures for TCBR Systems. In: Althoff, K.-D., Bergmann, R., Minor, M., Hanft, A. (eds.) ECCBR 2008. LNCS (LNAI), vol. 5239, pp. 444–458. Springer, Heidelberg (2008)
Rissland, E., Daniels, J.: Using CBR to Drive IR. In: Procs. International Joint Conference on Artificial Intelligence, vol. 14, pp. 400–407 (1995)
Sen, S., Lam, S., Rashid, A., Cosley, D., Frankowski, D., Osterhouse, J., Harper, F., Riedl, J.: Tagging, communities, vocabulary, evolution. In: Procs. CSCW 2006, Banff, Canada, pp. 181–190 (2006)
Shu, L.H.: A natural-language approach to biomimetic design. AIEDAM 24(4), 483–505 (2010)
Vattam, S.: Interactive Analogical Retrieval: Practice, Theory and Technology, Doctoral Dissertation, Georgia Institute of Technology (2012)
Vattam, S., Goel, A.: Foraging for inspiration: Understanding and supporting the information seeking practices of biologically inspired designers. In: Proc. ASME DETC Conference on Design Theory and Methods, Washington, DC (August 2011)
Vattam, S., Helms, M., Goel, A.: Compound Analogical Design: Interaction Between Problem Decomposition and Analogical Transfer in Biologically Inspired Design. In: Proc. DCC 2008, Atlanta, pp. 377–396. Springer (June 2008)
Weber, R., Ashley, K., Bruninghaus, S.: Textual Case-Based Reasoning. Knowledge Engineering Review 20(3), 255–260 (2006)
Yen, J., Weissburg, M., Helms, M., Goel, A.: Biologically Inspired Design: ATool for Interdisciplinary Education. In: Bar-Cohen, Y. (ed.) Biomimetics: Nature-Based Innovation. Taylor & Francis (2011)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2013 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
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
Download citation
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)