@article{oai:ipsj.ixsq.nii.ac.jp:00226259,
 author = {Shinya, Abe and Shoko, Fujii and Tatsuya, Sato and Yuto, Komatsu and Satoshi, Fujitsu and Hiroshi, Fujisawa and Shinya, Abe and Shoko, Fujii and Tatsuya, Sato and Yuto, Komatsu and Satoshi, Fujitsu and Hiroshi, Fujisawa},
 issue = {2},
 journal = {情報処理学会論文誌コンシューマ・デバイス＆システム（CDS）},
 month = {May},
 note = {With the proliferation of the Internet of Things and smart devices, content presentation devices and content types are constantly increasing. However, there is little consideration given to selecting the appropriate devices for presenting a particular content. Therefore, we propose a web-based device selection method based on semantic data from the resource description framework. In this study, we use notifications as examples of content, and a network graph representing users, content, and devices is arranged in a two-dimensional space by our user-centric force-directed algorithm. By selecting device nodes near the user node from the placement results, devices are determined to present content. Based on the proposed algorithm, a device selection system and a notification presentation application were prototyped. The experimental results show that the proposed method has a higher probability of selecting the correct devices than the existing method of obtaining vectors from RDF data.
------------------------------
This is a preprint of an article intended for publication Journal of
Information Processing(JIP). This preprint should not be cited. This
article should be cited as: Journal of Information Processing Vol.31(2023) (online)
------------------------------, With the proliferation of the Internet of Things and smart devices, content presentation devices and content types are constantly increasing. However, there is little consideration given to selecting the appropriate devices for presenting a particular content. Therefore, we propose a web-based device selection method based on semantic data from the resource description framework. In this study, we use notifications as examples of content, and a network graph representing users, content, and devices is arranged in a two-dimensional space by our user-centric force-directed algorithm. By selecting device nodes near the user node from the placement results, devices are determined to present content. Based on the proposed algorithm, a device selection system and a notification presentation application were prototyped. The experimental results show that the proposed method has a higher probability of selecting the correct devices than the existing method of obtaining vectors from RDF data.
------------------------------
This is a preprint of an article intended for publication Journal of
Information Processing(JIP). This preprint should not be cited. This
article should be cited as: Journal of Information Processing Vol.31(2023) (online)
------------------------------},
 title = {Web-based Force-directed Adaptive Device Selection for User Notification},
 volume = {13},
 year = {2023}
}