交通ネットワーク上の関連地名の分散パターンの分析

• 風間 一洋

  日本電信電話(株) NTT未来ねっと研究所

書誌事項

タイトル別名

• Distribution Pattern Analysis of Associated Geographical Names on Transportation Network

抄録

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.

収録刊行物

• 人工知能学会論文誌

  人工知能学会論文誌 27 (2), 34-39, 2012

  一般社団法人 人工知能学会

キーワード

• geographical information retrieval
• text mining
• network analysis
• query log
• Jaccard coefficient

詳細情報

• CRID: 1390282680085977088
• NII論文ID: 130001878743
• DOI: 10.1527/tjsai.27.34
• ISSN: 13468030
• ISSN: 13460714
• Web Site: http://www.jstage.jst.go.jp/article/tjsai/27/2/27_2_34/_pdf
• 本文言語コード: ja
• データソース種別:
  • JaLC
  • Crossref
  • CiNii Articles
• 抄録ライセンスフラグ: 使用不可