交通ネットワーク上の関連地名の分散パターンの分析  [in Japanese] Distribution Pattern Analysis of Associated Geographical Names on Transportation Network  [in Japanese]

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Author(s)

    • 風間 一洋 KAZAMA Kazuhiro
    • 日本電信電話(株) NTT未来ねっと研究所 NTT Network Innovation Laboratories, Nippon Telegraph and Telephone Corporation

Abstract

I present a new text mining approach combined with network analysis to quantify the distribution patterns of the associated geographical names on a transportation network. extract geographical names from user's search queries recorded in search engine query logs and compare the similarities of any pair of geographical names using Jaccard coefficient. I found that a set of associated geographical names for each geographical name shows a specific spatial distribution pattern on transportation network and define a measure for quantifying such characteristics. Furthermore, I discuss its characteristics and application for information navigation.

Journal

  • Transactions of the Japanese Society for Artificial Intelligence

    Transactions of the Japanese Society for Artificial Intelligence 27(2), 34-39, 2012

    The Japanese Society for Artificial Intelligence

Codes

  • NII Article ID (NAID)
    130001878743
  • Text Lang
    JPN
  • ISSN
    1346-0714
  • Data Source
    J-STAGE 
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