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  1. 論文誌(トランザクション)
  2. コンシューマ・デバイス&システム(CDS)
  3. Vol.13
  4. No.2

Web-based Force-directed Adaptive Device Selection for User Notification

https://ipsj.ixsq.nii.ac.jp/records/226259
https://ipsj.ixsq.nii.ac.jp/records/226259
6d5c84d0-30eb-4a6b-b133-32c40558ad34
名前 / ファイル ライセンス アクション
IPSJ-TCDS1302002.pdf IPSJ-TCDS1302002.pdf (2.7 MB)
 2025年5月31日からダウンロード可能です。
Copyright (c) 2023 by the Information Processing Society of Japan
非会員:¥0, IPSJ:学会員:¥0, CDS:会員:¥0, DLIB:会員:¥0
Item type Trans(1)
公開日 2023-05-31
タイトル
タイトル Web-based Force-directed Adaptive Device Selection for User Notification
タイトル
言語 en
タイトル Web-based Force-directed Adaptive Device Selection for User Notification
言語
言語 eng
キーワード
主題Scheme Other
主題 [研究論文] Web TV, Semantic Web, Internet of Things, Web of Things
資源タイプ
資源タイプ識別子 http://purl.org/coar/resource_type/c_6501
資源タイプ journal article
著者所属
NHK (Japan Broadcasting Corporation)
著者所属
NHK (Japan Broadcasting Corporation)
著者所属
NHK (Japan Broadcasting Corporation)
著者所属
NHK (Japan Broadcasting Corporation)
著者所属
NHK (Japan Broadcasting Corporation)
著者所属
NHK (Japan Broadcasting Corporation)
著者所属(英)
en
NHK (Japan Broadcasting Corporation)
著者所属(英)
en
NHK (Japan Broadcasting Corporation)
著者所属(英)
en
NHK (Japan Broadcasting Corporation)
著者所属(英)
en
NHK (Japan Broadcasting Corporation)
著者所属(英)
en
NHK (Japan Broadcasting Corporation)
著者所属(英)
en
NHK (Japan Broadcasting Corporation)
著者名 Shinya, Abe

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Shinya, Abe

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Shoko, Fujii

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Shoko, Fujii

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Tatsuya, Sato

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Tatsuya, Sato

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Yuto, Komatsu

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Yuto, Komatsu

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Satoshi, Fujitsu

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Satoshi, Fujitsu

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Hiroshi, Fujisawa

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Hiroshi, Fujisawa

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著者名(英) Shinya, Abe

× Shinya, Abe

en Shinya, Abe

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Shoko, Fujii

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Tatsuya, Sato

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Yuto, Komatsu

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Satoshi, Fujitsu

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Hiroshi, Fujisawa

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論文抄録
内容記述タイプ Other
内容記述 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)
------------------------------
論文抄録(英)
内容記述タイプ Other
内容記述 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)
------------------------------
書誌レコードID
収録物識別子タイプ NCID
収録物識別子 AA12628043
書誌情報 情報処理学会論文誌コンシューマ・デバイス&システム(CDS)

巻 13, 号 2, 発行日 2023-05-31
ISSN
収録物識別子タイプ ISSN
収録物識別子 2186-5728
出版者
言語 ja
出版者 情報処理学会
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