DODDLE II: A Domain Ontology Development Environment Using a MRD and Text Corpus

In this paper, we describe how to exploit a machine-readable dictionary (MRD) and domain-specific text corpus in supporting the construction of domain on-tologies 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 the Contracts for the International Sale of Goods (CISG), we make sure that our system can work to support the process of constructing domain ontologies with a MRD and text corpus.