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Towards Automatic Classification of Description of Analogies into SAPPhIRE Constructs

Keshwani, Sonal and Chakrabarti, Amaresh (2017) Towards Automatic Classification of Description of Analogies into SAPPhIRE Constructs. In: 6th International Conference on Research into Design (ICoRD), JAN 09-11, 2017, Indian Inst Technol, Guwahati, INDIA, pp. 643-655.

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Official URL: http://dx.doi.org/10.1007/978-981-10-3521-0_55

Abstract

The motivation behind this research is to aid designers in retrieving a large number of analogies relevant to the design problem under consideration. The objective of the work reported here is to automatically classify natural-language descriptions of analogies into constructs of SAPPhIRE model of causality-a common causal language that was developed for describing the functioning of natural and artificial systems. This should provide the benefit of utilizing the enormous data available on the Internet, while also providing focused search results. Using supervised classification approach, the accuracy (cross-validation) achieved in classification of natural-language descriptions of analogies into the constructs of SAPPhIRE model was 0.70 +/- 0.08.

Item Type: Conference Proceedings
Additional Information: Copy right for the article belong to SPRINGER-VERLAG BERLIN, HEIDELBERGER PLATZ 3, D-14197 BERLIN, GERMANY
Department/Centre: Division of Mechanical Sciences > Centre for Product Design & Manufacturing
Depositing User: Id for Latest eprints
Date Deposited: 16 Mar 2018 14:42
Last Modified: 03 Oct 2018 14:56
URI: http://eprints.iisc.ac.in/id/eprint/59217

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