階層的分類における複数の意味を持つデータの利用  [in Japanese] Utilization of Multiple Semantics Data with Hierarchical Classification  [in Japanese]

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Abstract

大量で多様なデータを効率的に利用するためにはデータを適切に構成する必要があり,データの意味に基づく階層的な分類はデータの構成法として有用である.収集されたデータは多様であるため分類に用いる属性に対して複数の意味を持つ場合が多い.データ(オブジェクト)が複数の子クラスに分類されるとオブジェクトは終端クラスで重複するため,クラスのオブジェクトを終端クラスから求める際に重複を除く必要がある.また,クラス集合の意味に一致するオブジェクトを取り出すためには,オブジェクトがクラス集合の終端クラス以外の終端クラスに分類されていないかを調べる必要がある.本論文では,複数の子クラスに分類されたオブジェクトのうち1 つで子クラス集合のオブジェクトを代表させることによってこれらの問題を解決できることを示す.A lot of heterogeneous data must be organized properly to be utilized efficiently, and hierarchical classification based on semantics of data is useful approach to organize data. The semantics of data for the classification attribute is often multiple. When data (objects) are classified to more than one child class, they are duplicated in the terminal classes, that requires the elimination of the duplications when the objects of a class are produced from the terminal classes. When the objects whose semantics is the semantics of a set of classes are required, we have to check that objects are classified to the other terminal classes. This paper shows these problmes are handled by selecting one of the objects in the child classes to representthe object in the child classes.

A lot of heterogeneous data must be organized properly to be utilized efficiently, and hierarchical classification based on semantics of data is useful approach to organize data. The semantics of data for the classification attribute is often multiple. When data (objects) are classified to more than one child class, they are duplicated in the terminal classes, that requires the elimination of the duplications when the objects of a class are produced from the terminal classes. When the objects whose semantics is the semantics of a set o£ classes are required, we have to check that objects are classified to the other terminal classes. This paper shows these problmes are handled by selecting one of the objects in the child classes to represent the object in the child classes.

Journal

  • 情報処理学会論文誌データベース(TOD)

    情報処理学会論文誌データベース(TOD) 47(SIG8(TOD30)), 1-10, 2006-06-15

    Information Processing Society of Japan (IPSJ)

References:  16

Codes

  • NII Article ID (NAID)
    110006390933
  • NII NACSIS-CAT ID (NCID)
    AA11464847
  • Text Lang
    JPN
  • Article Type
    Article
  • ISSN
    1882-7799
  • NDL Article ID
    8011053
  • NDL Call No.
    Z74-C192
  • Data Source
    CJP  NDL  NII-ELS  IPSJ 
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