『残念な日本地図』は日本のアニメ, ゲーム, ライトノベルに登場する舞台の緯度経度を表示するWebツール. データモデリングにRDF (Resource Description Framework)を使っており, SPARQL (SPARQL Protocol and RDF Query Language) エンドポイントも公開しています. まだまだα版ですが, ポップ・カルチャーからの刺客としてLOD (Linked Open Data)に一石投じてみました.
2012年4月29日に幕張メッセで開催された第二回ニコニコ学会βシンポジウム. 第7セッション研究者してみたマッドネス・ネットの部での発表資料.
ほえほえ
"Zan-nen (nerdy, otaku) Location Map of Japanimation"
Zan-nen (nerdy, otaku) Location Map of Japanimation is a web tool for viewing location site of Japanimation (anime, game, novel ...etc.). We use semantic web technologies in the web tool and database. In the purpose of collecting and unifying dispersed data, RDF (Resource Description Framework) is very useful and is used for the data modeling of this tool. We also exhibit SPARQL endpoint to which the database used is made as for search from Web. This system does not go beyond the alpha version yet. However, it is the first application example where semantic web was utilized by the pop culture of Japan.
2nd Nico Nico Gakkai Beta Symposium
Apr. 29, 2012
Hoehoe
『残念な日本地図』は日本のアニメ, ゲーム, ライトノベルに登場する舞台の緯度経度を表示するWebツール. データモデリングにRDF (Resource Description Framework)を使っており, SPARQL (SPARQL Protocol and RDF Query Language) エンドポイントも公開しています. まだまだα版ですが, ポップ・カルチャーからの刺客としてLOD (Linked Open Data)に一石投じてみました.
2012年4月29日に幕張メッセで開催された第二回ニコニコ学会βシンポジウム. 第7セッション研究者してみたマッドネス・ネットの部での発表資料.
ほえほえ
"Zan-nen (nerdy, otaku) Location Map of Japanimation"
Zan-nen (nerdy, otaku) Location Map of Japanimation is a web tool for viewing location site of Japanimation (anime, game, novel ...etc.). We use semantic web technologies in the web tool and database. In the purpose of collecting and unifying dispersed data, RDF (Resource Description Framework) is very useful and is used for the data modeling of this tool. We also exhibit SPARQL endpoint to which the database used is made as for search from Web. This system does not go beyond the alpha version yet. However, it is the first application example where semantic web was utilized by the pop culture of Japan.
2nd Nico Nico Gakkai Beta Symposium
Apr. 29, 2012
Hoehoe
文献紹介:An Image is Worth 16x16 Words: Transformers for Image Recognition at ScaleToru Tamaki
Alexey Dosovitskiy, Lucas Beyer, Alexander Kolesnikov, Dirk Weissenborn, Xiaohua Zhai, Thomas Unterthiner, Mostafa Dehghani, Matthias Minderer, Georg Heigold, Sylvain Gelly, Jakob Uszkoreit, Neil Houlsby, An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale, ICLR2021.
https://openreview.net/forum?id=YicbFdNTTy
文献紹介:Token Shift Transformer for Video ClassificationToru Tamaki
Hao Zhang, Yanbin Hao, Chong-Wah Ngo, Token Shift Transformer for Video Classification, ACM MM '21: Proceedings of the 29th ACM International Conference on MultimediaOctober 2021 Pages 917–925https://doi.org/10.1145/3474085.3475272
http://vireo.cs.cityu.edu.hk/papers/Hao_MM2021.pdf
http://arxiv.org/abs/2108.02432
https://dl.acm.org/doi/abs/10.1145/3474085.3475272
文献紹介:An Image is Worth 16x16 Words: Transformers for Image Recognition at ScaleToru Tamaki
Alexey Dosovitskiy, Lucas Beyer, Alexander Kolesnikov, Dirk Weissenborn, Xiaohua Zhai, Thomas Unterthiner, Mostafa Dehghani, Matthias Minderer, Georg Heigold, Sylvain Gelly, Jakob Uszkoreit, Neil Houlsby, An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale, ICLR2021.
https://openreview.net/forum?id=YicbFdNTTy
文献紹介:Token Shift Transformer for Video ClassificationToru Tamaki
Hao Zhang, Yanbin Hao, Chong-Wah Ngo, Token Shift Transformer for Video Classification, ACM MM '21: Proceedings of the 29th ACM International Conference on MultimediaOctober 2021 Pages 917–925https://doi.org/10.1145/3474085.3475272
http://vireo.cs.cityu.edu.hk/papers/Hao_MM2021.pdf
http://arxiv.org/abs/2108.02432
https://dl.acm.org/doi/abs/10.1145/3474085.3475272