Towards Culturally-Situated Agent Which Can Detect Cultural Differences
A method to calculate the semantic dissimilarity in two countries’ pictogram interpretations is proposed. Two countries’ pictogram interpretation words are mapped to SUMO classes via WordNet2SUMO. Appropriate concept weights are assigned to SUMO classes using the interpretation ratios. The edges between the two SUMO classes are counted to obtain the path length of the two classes. Three bipartite graphs are generated using the classes and edges to calculate the between-country vs. within-country dissimilarity in pictogram interpretations. Preliminary result showed that human assessment of interpretation dissimilarity does not always correspond to concept-level dissimilarity in the ontology.
Keywordsinterpretation cultural difference detection ontology
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