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| Presentation | 2021-03-05 10:10 Matching based Spatio-Temporal Contents discovery method considering temporal characteristics Kaoru Nagashima (Kyutech), Yuzo Taenaka (NAIST), Kazuya Tsukamoto (Kyutech)  NS2020-142 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (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) |
| (in English) | Contents discovery / IoT / Cross-Domain Data Fusion / Geolocation / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 120, no. 413, NS2020-142, pp. 114-119, March 2021. | |
| Paper # | NS2020-142 | |
| Date of Issue | 2021-02-25 (NS) | |
| ISSN | Online edition: ISSN 2432-6380 | |
| Copyright and reproduction |
All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034) | |
| Download PDF | NS2020-142 |
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| Conference Information | |
| Committee | IN NS |
| Conference Date | 2021-03-04 - 2021-03-05 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Online |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | General |
| Paper Information | |
| Registration To | NS |
| Conference Code | 2021-03-IN-NS |
| Language | Japanese |
| 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 |
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| 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) |
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| Speaker | Author-1 |
| Date Time | 2021-03-05 10:10:00 |
| Presentation Time | 20 minutes |
| Registration for | NS |
| Paper # | NS2020-142 |
| Volume (vol) | vol.120 |
| Number (no) | no.413 |
| Page | pp.114-119 |
| #Pages | 6 |
| Date of Issue | 2021-02-25 (NS) |
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