Towards culturally-situated agent which can detect cultural differences

Heeryon Cho, Naomi Yamashita, Toru Ishida

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

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.

Original languageEnglish
Title of host publicationAgent Computing and Multi-Agent Systems - 10th Pacific Rim International Conference on Multi-Agents, PRIMA 2007, Revised Papers
Pages458-463
Number of pages6
DOIs
Publication statusPublished - 2009 Jul 17
Externally publishedYes
Event10th Pacific Rim International Conference on Multi-Agents, PRIMA 2007 - Bangkok, Thailand
Duration: 2007 Nov 212007 Nov 23

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume5044 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference10th Pacific Rim International Conference on Multi-Agents, PRIMA 2007
CountryThailand
CityBangkok
Period07/11/2107/11/23

Keywords

  • Cultural difference
  • Detection
  • Interpretation
  • Ontology

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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  • Cite this

    Cho, H., Yamashita, N., & Ishida, T. (2009). Towards culturally-situated agent which can detect cultural differences. In Agent Computing and Multi-Agent Systems - 10th Pacific Rim International Conference on Multi-Agents, PRIMA 2007, Revised Papers (pp. 458-463). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5044 LNAI). https://doi.org/10.1007/978-3-642-01639-4_47