Statistical Analysis on Indexing Depth in INIS

DOI

Bibliographic Information

Other Title
  • INISにおけるインデクシング傾向の定量的解析

Description

The indexing tendency in INIS has been analyzed by a statistical means. In this analysis were counted the indexer assigned descriptors per piece of literature and the computer generated broader terms per indexer assigned descriptor, and also the number of split documents. The INIS employs a decentralized input system, and further, the indexing itself differs with the respective subject categories. The numbers of descriptors and broader terms and of split documents were thus obtained for each inputting country and subject category. The difference in indexing among the countries for given subject category was considerably large, far more than expected. The indexing depth is then related not only with the number of descriptors per piece of literature, it is also largely influenced by the ratio of computer- and indexer-assigned descriptors.

Journal

  • Dokumenteshon kenkyu

    Dokumenteshon kenkyu 23 (9), 287-293, 1973

    Information Science and Technology Association, Japan

Details 詳細情報について

  • CRID
    1390001204175438592
  • NII Article ID
    110002729441
  • DOI
    10.18919/dokumen.23.9_287
  • ISSN
    2189826X
    00125180
  • Text Lang
    ja
  • Data Source
    • JaLC
    • CiNii Articles
  • Abstract License Flag
    Disallowed

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