Hanzi grid toward a knowledge infrastructure for Chinese character-based cultures

Ya Min Chou, Shu Kai Hsieh, Chu-ren Huang

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

6 Citations (Scopus)

Abstract

The long-term historical development and broad geographical variation of Chinese character (Hanzi/Kanji) has made it a crosscultural information sharing platform in East Asia. In this paper, we propose a theoretical framework for the knowledge representation of Hanzi in the cross-cultural context. Our proposal is mainly based on two resources: Hantology and Generative Lexicon Theory. Hantology is a comprehensive Chinese character-based knowledge resource created to provide a solid foundation both for philological surveys and language processing tasks, while Generative lexicon theory is extended to catch the abundant knowledge information of Chinese characters within its proposed qualia structure. We believe that the proposed theoretical framework will have great influence on the current research paradigm of Hanzi studies, and help to shape an emergent model of intercultural collaboration.
Original languageEnglish
Title of host publicationIntercultural Collaboration - First International Workshop, IWIC 2007, Invited and Selected Papers
Pages133-145
Number of pages13
Publication statusPublished - 1 Dec 2007
Externally publishedYes
Event1st International Workshop on Intercultural Collaboration, IWIC 2007 - Kyoto, Japan
Duration: 25 Jan 200726 Jan 2007

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume4568 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference1st International Workshop on Intercultural Collaboration, IWIC 2007
CountryJapan
CityKyoto
Period25/01/0726/01/07

Keywords

  • Chinese characters
  • Ontological knowledge resource

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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