| アイテムタイプ |
学術雑誌論文 = Journal Article(1) |
| 公開日 |
2024-04-09 |
| 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 |
Content Search Method Utilizing the Metadata Matching Characteristics of Both Spatio-Temporal Content and User Request in the IoT Era |
|
言語 |
en |
| 言語 |
|
|
言語 |
eng |
| 著者 |
Akiyoshi, Shota
Taenaka, Yuzo
塚本, 和也
Lee, Myung
|
| 抄録 |
|
|
内容記述タイプ |
Abstract |
|
内容記述 |
Cross-domain data fusion is becoming a key driver in the growth of numerous and diverse applications in the Internet of Things (IoT) era. We have proposed the concept of a new information platform, Geo-Centric Information Platform (GCIP), that enables IoT data fusion based on geolocation, i.e., produces spatio-temporal content (STC), and then provides the STC to users. In this environment, users cannot know in advance “when,” “where,” or “what type” of STC is being generated because the type and timing of STC generation vary dynamically with the diversity of IoT data generated in each geographical area. This makes it difficult to directly search for a specific STC requested by the user using the content identifier (domain name of URI or content name). To solve this problem, a new content discovery method that does not directly specify content identifiers is needed while taking into account (1) spatial and (2) temporal constraints. In our previous study, we proposed a content discovery method that considers only spatial constraints and did not consider temporal constraints. This paper proposes a new content discovery method that matches user requests with content metadata (topic) characteristics while taking into account spatial and temporal constraints. Simulation results show that the proposed method successfully discovers appropriate STC in response to a user request. |
|
言語 |
en |
| 書誌情報 |
en : IEICE Transactions on Communications
巻 E107.B,
号 1,
p. 163-172,
発行日 2024-01-01
|
| 出版社 |
|
|
出版者 |
電子情報通信学会 |
|
言語 |
ja |
| DOI |
|
|
関連タイプ |
isIdenticalTo |
|
|
識別子タイプ |
DOI |
|
|
関連識別子 |
https://doi.org/10.1587/transcom.2023EBP3060 |
| NCID |
|
|
収録物識別子タイプ |
NCID |
|
収録物識別子 |
AA10826261 |
| ISSN |
|
|
収録物識別子タイプ |
PISSN |
|
収録物識別子 |
0916-8516 |
| ISSN |
|
|
収録物識別子タイプ |
EISSN |
|
収録物識別子 |
1745-1345 |
| 著作権関連情報 |
|
|
権利情報 |
Copyright (c) 2024 The Institute of Electronics, Information and Communication Engineers |
| キーワード |
|
|
主題Scheme |
Other |
|
主題 |
Internet of Things |
| キーワード |
|
|
主題Scheme |
Other |
|
主題 |
cross-domain data fusion |
| キーワード |
|
|
主題Scheme |
Other |
|
主題 |
content search |
| 出版タイプ |
|
|
出版タイプ |
VoR |
|
出版タイプResource |
http://purl.org/coar/version/c_970fb48d4fbd8a85 |
| 査読の有無 |
|
|
値 |
yes |
| 研究者情報 |
|
|
URL |
https://hyokadb02.jimu.kyutech.ac.jp/html/218_ja.html |
| 論文ID（連携） |
|
|
値 |
10429313 |
| 連携ID |
|
|
値 |
11960 |
10429313.pdf (2 MB)
