Abstract
We present the first version of an electronic dictionary(http://vis.upf.edu/CDVS/dic2.aspx) where designers can find pictures to represent abstract concepts. It aims at the expressiveness and variety of visual expressions for abstract concepts. This dictionary is driven by an automatic knowledge extraction method, which elicits pairs of abstract concept and picture from corpus. The extracted visual symbols look promising. A preliminary experiment was accomplished to test the quality and quantity of these visual symbols. We offer analysis of the experiment results and proposals to improve the knowledge extraction method.
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Acknowledgements
This work is supported by the FI-IQUC grant from Agència de Gesti’o d’Ajuts Universitaris I de Recerca, Catalunya, Spain. I also would like to thank the discussion and support from Rodrigo Roman and Fabien Girardin.
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Xiao, P., Arroyo, E., Blat, J. (2009). Construct Connotation Dictionary of Visual Symbols. In: Huang, M., Nguyen, Q., Zhang, K. (eds) Visual Information Communication. Springer, Boston, MA. https://doi.org/10.1007/978-1-4419-0312-9_7
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DOI: https://doi.org/10.1007/978-1-4419-0312-9_7
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