Assisting pictogram selection with semantic interpretation

Heeryon Cho, Toru Ishida, Toshiyuki Takasaki, Satoshi Oyama

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

5 Citations (Scopus)

Abstract

Participants at both end of the communication channel must share common pictogram interpretation to communicate. However, because pictogram interpretation can be ambiguous, pictogram communication can sometimes be difficult. To assist human task of selecting pictograms more likely to be interpreted as intended, we propose a semantic relevance measure which calculates how relevant a pictogram is to a given interpretation. The proposed measure uses pictogram interpretations and frequencies gathered from a web survey to define probability and similarity measurement of interpretation words. Moreover, the proposed measure is applied to categorized pictogram interpretations to enhance retrieval performance. Five pictogram categories are created using the five first level categories defined in the Concept Dictionary of EDR Electronic Dictionary. Retrieval performance among not-categorized interpretations, categorized and not-weighted interpretations, and categorized and weighted interpretations using semantic relevance measure were compared, and the categorized and weighted semantic relevance retrieval approach exhibited the highest F 1 measure and recall.

Original languageEnglish
Title of host publicationThe Semantic Web
Subtitle of host publicationResearch and Applications - 5th European Semantic Web Conference, ESWC 2008, Proceedings
Pages65-79
Number of pages15
DOIs
Publication statusPublished - 2008 Jun 25
Externally publishedYes
Event5th European Semantic Web Conference, ESWC 2008 - Tenerife, Canary Islands, Spain
Duration: 2008 Jun 12008 Jun 5

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume5021 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference5th European Semantic Web Conference, ESWC 2008
CountrySpain
CityTenerife, Canary Islands
Period08/6/108/6/5

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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    Cho, H., Ishida, T., Takasaki, T., & Oyama, S. (2008). Assisting pictogram selection with semantic interpretation. In The Semantic Web: Research and Applications - 5th European Semantic Web Conference, ESWC 2008, Proceedings (pp. 65-79). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5021 LNCS). https://doi.org/10.1007/978-3-540-68234-9_8