Doddle II: A domain ontology development environment using a MRD and text corpus

Masaki Kurematsu, Takamasa Iwade, Naomi Nakaya, Takahira Yamaguchi

Research output: Contribution to journalArticlepeer-review

9 Citations (Scopus)


In this paper, we describe how to exploit a machine-readable dictionary (MRD) and domain-specific text corpus in supporting the construction of domain ontologies that specify taxonomic and non-taxonomic relationships among given domain concepts. In building taxonomic relationships (hierarchical structure) of domain concepts, some hierarchical structure can be extracted from a MRD with marked subtrees that may be modified by a domain expert, using matching result analysis and trimmed result analysis. In building non-taxonomic relationships (specification templates) of domain concepts, we construct concept specification templates that come from pairs of concepts extracted from text corpus, using WordSpace and an association rule algorithm. A domain expert modifies taxonomic and non-taxonomic relationships later. Through case studies with "the Contracts for the International Sales of Goods (CISG)" and "XML Common Business Library (xCBL)", we make sure that our system can work to support the process of constructing domain ontologies with a MRD and text corpus.

Original languageEnglish
Pages (from-to)908-916
Number of pages9
JournalIEICE Transactions on Information and Systems
Issue number4
Publication statusPublished - 2004 Apr
Externally publishedYes


  • Association rule
  • Co-occurrence
  • Concept-hierarchy
  • Concept-relationship
  • MRD
  • Ontology
  • Text corpus

ASJC Scopus subject areas

  • Software
  • Hardware and Architecture
  • Computer Vision and Pattern Recognition
  • Electrical and Electronic Engineering
  • Artificial Intelligence


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