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Matching Based Content Discovery Method on Geo-Centric Information Platform
http://hdl.handle.net/10228/00008442
http://hdl.handle.net/10228/000084420128669d-963c-40a5-8568-4d292de7f949
名前 / ファイル | ライセンス | アクション |
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RECN_2020-06.pdf (1.3 MB)
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Item type | 学術雑誌論文 = Journal Article(1) | |||||||||||
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公開日 | 2021-08-23 | |||||||||||
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 | |||||||||||
タイトル | ||||||||||||
タイトル | Matching Based Content Discovery Method on Geo-Centric Information Platform | |||||||||||
その他のタイトル | ||||||||||||
その他のタイトル | Matching based content discovery method on Geo-Centric Information Platform | |||||||||||
言語 | ||||||||||||
言語 | eng | |||||||||||
著者 |
Nagashima, Kaoru
× Nagashima, Kaoru× Taenaka, Yuzo× Nagata, Akira× Tamura, Hitomi× 塚本, 和也
WEKO
899
× Lee, Myung |
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抄録 | ||||||||||||
内容記述タイプ | Abstract | |||||||||||
内容記述 | We have proposed a concept of new information platform, Geo-Centric information platform (GCIP), that enables IoT data fusion based on geolocation. GCIP produces new and dynamic contents by combining cross-domain data in each geographic area and provides them to users. In this environment, it is difficult to find appropriate contents requested by a user because the user cannot recognize what contents are created in each area beforehand. In this paper, we propose a content discovery method for GCIP. This method evaluates the relevancy between topics specified in user requests and topics representing IoT data used for creating contents, called matching, and presents the candidates for the desired contents based on the relevancy. Simulation results showed that appropriate contents can reliably be discovered in response to user’s request. | |||||||||||
備考 | ||||||||||||
内容記述タイプ | Other | |||||||||||
内容記述 | 12th International Workshop on Information Network Design (WIND-2020), in conjunction with 12th International Conference on Intelligent Networking and Collaborative Systems (INCoS-2020), August 31st - September 2nd, 2020, University of Victoria, Canada(新型コロナ感染拡大に伴い、現地開催中止) | |||||||||||
書誌情報 |
Advances in Intelligent Systems and Computing 巻 1263, p. 470-479, 発行日 2020-08-21 |
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DOI | ||||||||||||
関連タイプ | isVersionOf | |||||||||||
識別子タイプ | DOI | |||||||||||
関連識別子 | https://doi.org/10.1007/978-3-030-57796-4_45 | |||||||||||
ISBN | ||||||||||||
識別子タイプ | ISBN | |||||||||||
関連識別子 | 978-3-030-57795-7 | |||||||||||
ISBN | ||||||||||||
識別子タイプ | ISBN | |||||||||||
関連識別子 | 978-3-030-57796-4 | |||||||||||
日本十進分類法 | ||||||||||||
主題Scheme | NDC | |||||||||||
主題 | 547 | |||||||||||
著作権関連情報 | ||||||||||||
権利情報 | Copyright (c) Springer Nature Switzerland AG 2021. This is a post-peer-review, pre-copyedit version of an article published in Advances in Intelligent Systems and Computing. The final authenticated version is available online at: http://dx.doi.org/10.1007/978-3-030-57796-4_45. | |||||||||||
出版タイプ | ||||||||||||
出版タイプ | AM | |||||||||||
出版タイプResource | http://purl.org/coar/version/c_ab4af688f83e57aa | |||||||||||
査読の有無 | ||||||||||||
値 | yes | |||||||||||
連携ID | ||||||||||||
8798 | ||||||||||||
資料タイプ | ||||||||||||
内容記述タイプ | Other | |||||||||||
内容記述 | Journal Article | |||||||||||
著者所属 | ||||||||||||
Kyushu Institute of Technology | ||||||||||||
著者所属 | ||||||||||||
Nara Institute of Science and Technology | ||||||||||||
著者所属 | ||||||||||||
iD Corporation | ||||||||||||
著者所属 | ||||||||||||
Fukuoka Institute of Technology | ||||||||||||
著者所属 | ||||||||||||
Kyushu Institute of Technology | ||||||||||||
著者所属 | ||||||||||||
CUNY, City College |