| Presentation | 2021-03-05 Matching based Spatio-Temporal Contents discovery method considering temporal characteristics Kaoru Nagashima, Yuzo Taenaka, Kazuya Tsukamoto, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Cross-domain data fusion is becoming a key driver to growth of the numerous and diverse applications in IoT era.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. we proposed a content discovery method for GCIP in previous research. However, previous research is not considering temporal characteristics. In this paper, we propose new content discovery method considering temporal characteristics in STC. Simulation results showed that appropriate contents can be discovered in response to user’s request. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Contents discovery / IoT / Cross-Domain Data Fusion / Geolocation |
| Paper # | NS2020-142 |
| Date of Issue | 2021-02-25 (NS) |
| Conference Information | |
| Committee | IN / NS |
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| Conference Date | 2021/3/4(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Online |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | General |
| Chair | Kenji Ishida(Hiroshima City Univ.) / Akihiro Nakao(Univ. of Tokyo) |
| Vice Chair | Kunio Hato(Internet Multifeed) / Tetsuya Oishi(NTT) |
| Secretary | Kunio Hato(Hiroshima City Univ.) / Tetsuya Oishi(KDDI Research) |
| Assistant | / Shinya Kawano(NTT) |
| Paper Information | |
| Registration To | Technical Committee on Information Networks / Technical Committee on Network Systems |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Matching based Spatio-Temporal Contents discovery method considering temporal characteristics |
| Sub Title (in English) | |
| Keyword(1) | Contents discovery |
| Keyword(2) | IoT |
| Keyword(3) | Cross-Domain Data Fusion |
| Keyword(4) | Geolocation |
| 1st Author's Name | Kaoru Nagashima |
| 1st Author's Affiliation | Kyusyu Institute of Technology(Kyutech) |
| 2nd Author's Name | Yuzo Taenaka |
| 2nd Author's Affiliation | Nara Institute of Science and Technology(NAIST) |
| 3rd Author's Name | Kazuya Tsukamoto |
| 3rd Author's Affiliation | Kyusyu Institute of Technology(Kyutech) |
| Date | 2021-03-05 |
| Paper # | NS2020-142 |
| Volume (vol) | vol.120 |
| Number (no) | NS-413 |
| Page | pp.pp.114-119(NS), |
| #Pages | 6 |
| Date of Issue | 2021-02-25 (NS) |