A Hanzi radical ontology based approach towards teaching Chinese characters

Jia Fei Hong*, Chu Ren Huang

*Corresponding author for this work

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

4 Citations (Scopus)


Given the current popularity of learning Chinese language globally, design and creation of Chinese teaching materials is gaining recognition and has great impact. The preparation of teaching materials for reading and writing is particularly challenging because of the use of Chinese characters in the writing system. The aim of this study is to adopt an ontology-based description of the knowledge system of Chinese characters and to propose a knowledge-system based approach to the teaching of Chinese writing. In addition, we integrate Generative Lexicon Theory by [1] as bases of the concepts of Chinese character for Chinese teaching. By adopting this approach, Chinese learners can recognize and write Chinese words and then understand their lexical senses. In this study, we take Chinese radical representing (cao3, grass), and five sense faculties in ShuoWenJieZi, (mu4, eyes), (er3, ears), (kou3, mouth) (bi2, nose), and (she2, tongue) which all belongs to "body part" class in SUMO concepts as our research objects and explore their possible applications in Chinese teaching.

Original languageEnglish
Title of host publicationChinese Lexical Semantics - 13th Workshop, CLSW 2012, Revised Selected Papers
Number of pages11
Publication statusPublished - 2013
Event13th Chinese Lexical Semantics Workshop, CLSW 2012 - Wuhan, China
Duration: 2012 Jul 62012 Jul 8

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume7717 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference13th Chinese Lexical Semantics Workshop, CLSW 2012


  • Chinese teaching
  • Ontology
  • character
  • lexical semantics

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science


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