Abstract
Individual opinions and experiences are published inWeb 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 placenames. However, the direct relationships between the place-name and related words was not able to be guessed easily.
| Original language | English |
|---|---|
| Pages (from-to) | 31-42 |
| Number of pages | 12 |
| Journal | Intelligent Systems Reference Library |
| Volume | 90 |
| DOIs | |
| Publication status | Published - 2015 |
All Science Journal Classification (ASJC) codes
- General Computer Science
- Information Systems and Management
- Library and Information Sciences
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