DODDLE II: A Domain Ontology Development Environment Using a MRD and Text Corpus
DODDLE II: A Domain Ontology Development Environment Using a MRD and Text Corpus
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发表时间：
2004-04
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通讯作者：
M. Kurematsu;Takamasa Iwade;N. Nakaya;Takahira Yamaguchi
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作者：
M. Kurematsu;Takamasa Iwade;N. Nakaya;Takahira Yamaguchi
在本文中，我们描述了如何利用机器可读词典(MRD)和特定于领域的文本语料库来支持领域本体的构建，这些领域本体指定给定领域概念之间的分类和非分类关系。A)在建立领域概念的分类关系(分层结构)时，可以使用匹配结果分析和修剪结果分析，从具有可由领域专家修改的标记子树的MRD中提取一些分层结构。B)在构建领域概念的非分类关系(规范模板)时，我们使用WordSpace和关联规则算法，从文本语料库中提取概念对来构建概念规范模板。领域专家稍后修改分类法和非分类法关系。通过与CISG的案例研究，我们确保我们的系统能够支持使用MRD和文本语料库构建领域本体的过程。
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. A) In building taxonomic relationships (hierarchically structure) of domain concepts, some hierarchically structure can be extracted from a MRD with marked sub-trees that may be modified by a domain expert, using matching result analysis and trimmed result analysis. B) 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 the case study with CISG, we make sure that our system can work to support the process of constructing domain ontologies with a MRD and text corpus.