Extraction of places related to Flickr tags

Yukino Baba*, Fuyuki Ishikawa, Shinichi Honiden

*この研究の対応する著者

研究成果: Conference contribution

2 被引用数 (Scopus)

抄録

Geographic information systems use databases to map keywords to places. These databases are currently most often created by using a top-down approach based on the geographic definitions. However, there is a problem with this approach in that these databases only contain location definitions such as addresses and place names, which does not allow for searches using keywords other than these words. Additionally, they do not give any information on the popularity, e.g., which is more popular among the places indexed by the same keyword. A bottom-up approach, based on the actual usage of words, can address these problems. We propose a method to aggregate tagging data and extract places related to a tag using the pair of a tag and a geo-tagged photo. We target the co-occurrence of a tag and the geolocation and represent the places related to a tag as a probability distribution over the longitudes and latitudes. We applied our method to data on the photo sharing service Flickr and experimentally confirmed that our method made it possible to highly-accurately extract places related to tags. Our direct bottom-up approach enables the extraction of place information that is not obtained by using traditional top-down approaches.

本文言語English
ホスト出版物のタイトルECAI 2010
出版社IOS Press
ページ523-528
ページ数6
ISBN(印刷版)9781607506058
DOI
出版ステータスPublished - 2010
外部発表はい
イベント2nd Workshop on Knowledge Representation for Health Care, KR4HC 2010, held in conjunction with the 19th European Conference in Artificial Intelligence, ECAI 2010 - Lisbon, Portugal
継続期間: 2010 8月 172010 8月 17

出版物シリーズ

名前Frontiers in Artificial Intelligence and Applications
215
ISSN(印刷版)0922-6389

Conference

Conference2nd Workshop on Knowledge Representation for Health Care, KR4HC 2010, held in conjunction with the 19th European Conference in Artificial Intelligence, ECAI 2010
国/地域Portugal
CityLisbon
Period10/8/1710/8/17

ASJC Scopus subject areas

  • 人工知能

フィンガープリント

「Extraction of places related to Flickr tags」の研究トピックを掘り下げます。これらがまとまってユニークなフィンガープリントを構成します。

引用スタイル