Pictogram retrieval based on collective semantics

Authors:
Heeryon Cho;Toru Ishida;Rieko Inaba;Toshiyuki Takasaki;Yumiko Mori
Affiliations:
Department of Social Informatics, Kyoto University, Kyoto, Japan;Department of Social Informatics, Kyoto University, Kyoto, Japan;National Institute of Information and Communications Technology, Kyoto, Japan;Kyoto R&D Center, NPO Pangaea, Kyoto, Japan;Kyoto R&D Center, NPO Pangaea, Kyoto, Japan
Venue:
HCI'07 Proceedings of the 12th international conference on Human-computer interaction: intelligent multimodal interaction environments
Year:
2007

Citing 3
Cited 5

An Information-Theoretic Definition of Similarity

ICML '98 Proceedings of the Fifteenth International Conference on Machine Learning
Icons, symbols, and signs: visible languages to facilitate communication

interactions
Design and development of a pictogram communication system for children around the world

IWIC'07 Proceedings of the 1st international conference on Intercultural collaboration

Patterns in pictogram communication

Proceedings of the 2009 international workshop on Intercultural collaboration
Measuring Semantic Closeness of Ontologically Demarcated Resources

Fundamenta Informaticae - Advances in Artificial Intelligence and Applications
Culturally-situated pictogram retrieval

IWIC'07 Proceedings of the 1st international conference on Intercultural collaboration
Assisting pictogram selection with semantic interpretation

ESWC'08 Proceedings of the 5th European semantic web conference on The semantic web: research and applications
Measuring Semantic Closeness of Ontologically Demarcated Resources

Fundamenta Informaticae - Advances in Artificial Intelligence and Applications

Quantified Score

Hi-index	0.00

Visualization

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.