Chapter

Tourism Informatics

Volume 90 of the series Intelligent Systems Reference Library pp 31-42

Date:

Discovery of Implicit Feature Words of Place Name

  • Sachio HirokawaAffiliated withResearch Institute for Information Technology, Kyushu University Email author 
  • , Tetsuya NakatohAffiliated withResearch Institute for Information Technology, Kyushu University
  • , Hiroto NakaeAffiliated withGraduate School of Information Science and Electrical Engineering, Kyushu University
  • , Takahiro SuzukiAffiliated withResearch Institute for Information Technology, Kyushu University

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Abstract

Individual opinions and experiences are published in Web as CGM (consumer generated media). A tourism blog which a tourist wrote his experience and impression in a certain area is very helpful information for other tourists. However, a user cannot obtain such precious information without knowing the relation of blog articles and concrete place-names. We paid our attention to the hierarchical structure of place-names. In this paper, we propose the method of connecting related words to the place-name which does not appear explicitly in a blog article paying attention to the hierarchical structure of place-names. From 45,553 blog articles about the Karatsu area in Saga Prefecture, the potential related words about 78 place-names of Saga Prefecture which have not appeared in the blogs were extracted. 4 subjects evaluated that meaningful related words are obtained in 80 % or more of the place-names. However, the direct relationships between the place-name and related words was not able to be guessed easily.