Abstract
To retrieve pictograms having semantically ambiguous interpretations, we propose a semantic relevance measure which uses pictogram interpretation words collected from a web survey. The proposed measure uses ratio and similarity information contained in a set of pictogram interpretation words to (1) retrieve pictograms having implicit meaning but not explicit interpretation word and (2) rank pictograms sharing common interpretation word(s) according to query relevancy which reflects the interpretation ratio.
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
Takasaki, T.: PictNet: Semantic Infrastructure for Pictogram Communication. In: The 3rd International WordNet Conference (GWC-2006), pp. 279–284 (2006)
Takasaki, T., Mori, Y.: Design and Development of Pictogram Communication System for Children around the World. In: The 1st International Workshop on Intercultural Collaboration (IWIC-2007), pp. 144–157 (2007)
Marcus, A.: Icons, Symbols, and Signs: Visible Languages to Facilitate Communication. Interactions 10(3), 37–43 (2003)
Abdullah, R., Hubner, R.: Pictograms, Icons and Signs. Thames & Hudson (2006)
Lin, D.: An information-theoretic definition of similarity. In: The 15th International Conference on Machine Learning (ICML-1998), pp. 296–304 (1998)
Author information
Authors and Affiliations
Editor information
Rights and permissions
Copyright information
© 2007 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Cho, H., Ishida, T., Inaba, R., Takasaki, T., Mori, Y. (2007). Pictogram Retrieval Based on Collective Semantics. In: Jacko, J.A. (eds) Human-Computer Interaction. HCI Intelligent Multimodal Interaction Environments. HCI 2007. Lecture Notes in Computer Science, vol 4552. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-73110-8_4
Download citation
DOI: https://doi.org/10.1007/978-3-540-73110-8_4
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-73108-5
Online ISBN: 978-3-540-73110-8
eBook Packages: Computer ScienceComputer Science (R0)