BIOscrabble - Extraction of Biological Analogies out of Large Text Sources

Maria Katharina Kaiser, Helena Hashemi Farzaneh, Udo Lindemann

Abstract

How to identify a promising biological solution for developing an innovative technical product? To answer this question, approaches have been developed that support engineers in scanning biological texts for relevant biological analogies. However, existing approaches underutilize biological research articles as a text source, because the enormous amount of biological information contained in these articles is difficult to manage. Nevertheless, this search source is very comprehensive and represents the current state of biological research. Hence, it is worth further consideration. In this research, a search support for bio-inspired design called BIOscrabble is illustrated. It addresses the issue of extracting promising biological analogies out of huge biological text sources. Besides supporting the selection of useful search terms, it proposes different graph-based representations of the search to divide the biological information that is obtained in manageable "packages".

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Paper Citation


in Harvard Style

Kaiser M., Hashemi Farzaneh H. and Lindemann U. (2013). BIOscrabble - Extraction of Biological Analogies out of Large Text Sources . In Doctoral Consortium - Doctoral Consortium, (IC3K 2013) ISBN Not Available, pages 10-20


in Bibtex Style

@conference{doctoral consortium13,
author={Maria Katharina Kaiser and Helena Hashemi Farzaneh and Udo Lindemann},
title={BIOscrabble - Extraction of Biological Analogies out of Large Text Sources},
booktitle={Doctoral Consortium - Doctoral Consortium, (IC3K 2013)},
year={2013},
pages={10-20},
publisher={SciTePress},
organization={INSTICC},
doi={},
isbn={Not Available},
}


in EndNote Style

TY - CONF
JO - Doctoral Consortium - Doctoral Consortium, (IC3K 2013)
TI - BIOscrabble - Extraction of Biological Analogies out of Large Text Sources
SN - Not Available
AU - Kaiser M.
AU - Hashemi Farzaneh H.
AU - Lindemann U.
PY - 2013
SP - 10
EP - 20
DO -