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  1. NIIテクニカル・レポート

NII Technical Report (NII-2001-001E):An Alignment Algorithm between Concept Hierarchies

https://doi.org/10.20736/0000000331
https://doi.org/10.20736/0000000331
bb078fc8-8722-49b0-b4d5-e25668d4bbd5
名前 / ファイル ライセンス アクション
01-001E.pdf NII Technical Report (NII-2001-001E):An Alignment Algorithm between Concept Hierarchies (241.2 kB)
Item type レポート / Report(1)
公開日 2015-08-06
タイトル
言語 en
タイトル NII Technical Report (NII-2001-001E):An Alignment Algorithm between Concept Hierarchies
言語
言語 eng
キーワード
言語 ja
主題Scheme Other
主題 テクニカルレポート
キーワード
言語 en
主題Scheme Other
主題 Technical Report
資源タイプ
資源 http://purl.org/coar/resource_type/c_6501
タイプ departmental bulletin paper
ID登録
ID登録 10.20736/0000000331
ID登録タイプ JaLC
著者 市瀬, 龍太郎

× 市瀬, 龍太郎

ja 市瀬, 龍太郎

en Ichise, Ryutaro

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武田, 英明

× 武田, 英明

ja 武田, 英明

en Takeda, Hideaki

Search repository
本位田, 真一

× 本位田, 真一

ja 本位田, 真一

en Honiden, Shinichi

Search repository
抄録
内容記述タイプ Abstract
内容記述 Hierarchical categorization is a powerful and convenient method so that it is commonly used in various areas, for example ontologies and information categorization. Although each hierarchy is useful, there are problems to manage multiple hierarchies. In this paper, we propose an alignment method between concept hierarchies by using a statistical method. By using this method, a concept that exists in one hierarchy system but does not in the other can be located in a suitable position in the other. The key idea is to find similar categories between two systems to be able to transfer concepts from one system to the other. Similarity is measured by "k(kappa) statistic" based on instances belonging categories. The experiments of our method with concept hierarchies of Yahoo! and LYCOS result over 80% of accuracy to estimate appropriate positions of concepts between two hierarchies.
言語 en
書誌情報 ja : NIIテクニカル・レポート
en : NII Technical Report

p. 1-9, 発行日 2001-05-10
出版者
言語 ja
出版者 国立情報学研究所
ISSN
収録物識別子タイプ ISSN
収録物識別子 1346-5597
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