Presentation 2001/3/12
Acquiring Taxonomic Conceptual Relationships using a Machine Readable Dictionary and Text Corpus
Naomi NAKAYA, Takamasa IWADE, Takahira YAMAGUCHI,
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Abstract(in English) In order to reduce a user's effort in constructing a domain ontology, we propose a method to support the construction of domain ontologies by using a machine-readable dictionary (MRD) and text corpus. We construct a domain ontology with large numbers of concepts based on the hierarchical structure of the MRD. Furthermore, the domain-oriented relationships of taxonomy is obtained from text corpus. We take context similarity based on WordSpace to extract taxonomic relationships from text corpus. Taxonomic and non-taxonomic relationships are distinguished with respect to the distance between terms in the text. Through the case study with CISG, we make sure that our system can work to support the process of construction domain ontologies with a MRD and text corpus.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Domain Ontology / WordSpace / Similarity / CISG
Paper # AI2000-76,KBSE84
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Committee AI
Conference Date 2001/3/12(1days)
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Paper Information
Registration To Artificial Intelligence and Knowledge-Based Processing (AI)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Acquiring Taxonomic Conceptual Relationships using a Machine Readable Dictionary and Text Corpus
Sub Title (in English)
Keyword(1) Domain Ontology
Keyword(2) WordSpace
Keyword(3) Similarity
Keyword(4) CISG
1st Author's Name Naomi NAKAYA
1st Author's Affiliation Faculty of Information, Shizuoka University()
2nd Author's Name Takamasa IWADE
2nd Author's Affiliation Faculty of Information, Shizuoka University
3rd Author's Name Takahira YAMAGUCHI
3rd Author's Affiliation Faculty of Information, Shizuoka University
Date 2001/3/12
Paper # AI2000-76,KBSE84
Volume (vol) vol.100
Number (no) 709
Page pp.pp.-
#Pages 2
Date of Issue