抄録
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.
| 元の言語 | English |
|---|---|
| ページ（範囲） | 908-916 |
| ページ数 | 9 |
| ジャーナル | IEICE Transactions on Information and Systems |
| 巻 | E87-D |
| 発行部数 | 4 |
| 出版物ステータス | Published - 2004 4 |
| 外部発表 | Yes |
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ASJC Scopus subject areas
- Information Systems
- Computer Graphics and Computer-Aided Design
- Software
これを引用
Doddle II : A domain ontology development environment using a MRD and text corpus. / Kurematsu, Masaki; Iwade, Takamasa; Nakaya, Naomi; Yamaguchi, Takahira.
：: IEICE Transactions on Information and Systems, 巻 E87-D, 番号 4, 04.2004, p. 908-916.研究成果: Article
}
TY - JOUR
T1 - Doddle II
T2 - A domain ontology development environment using a MRD and text corpus
AU - Kurematsu, Masaki
AU - Iwade, Takamasa
AU - Nakaya, Naomi
AU - Yamaguchi, Takahira
PY - 2004/4
Y1 - 2004/4
N2 - 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.
AB - 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.
KW - Association rule
KW - Co-occurrence
KW - Concept-hierarchy
KW - Concept-relationship
KW - MRD
KW - Ontology
KW - Text corpus
UR - http://www.scopus.com/inward/record.url?scp=2342541585&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=2342541585&partnerID=8YFLogxK
M3 - Article
AN - SCOPUS:2342541585
VL - E87-D
SP - 908
EP - 916
JO - IEICE Transactions on Information and Systems
JF - IEICE Transactions on Information and Systems
SN - 0916-8532
IS - 4
ER -