The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
Copyrights notice
The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
Gabungan data merentas domain menjadi pemacu utama dalam pertumbuhan aplikasi yang banyak dan pelbagai dalam era Internet Perkara (IoT). Kami telah mencadangkan konsep platform maklumat baharu, Geo-Centric Information Platform (GCIP), yang membolehkan gabungan data IoT berdasarkan geolokasi, iaitu, menghasilkan kandungan spatio-temporal (STC), dan kemudian menyediakan STC kepada pengguna. Dalam persekitaran ini, pengguna tidak boleh mengetahui lebih awal "bila," "di mana" atau "jenis" STC dijana kerana jenis dan masa penjanaan STC berbeza secara dinamik dengan kepelbagaian data IoT yang dijana dalam setiap kawasan geografi. Ini menyukarkan untuk terus mencari STC tertentu yang diminta oleh pengguna menggunakan pengecam kandungan (nama domain URI atau nama kandungan). Untuk menyelesaikan masalah ini, kaedah penemuan kandungan baharu yang tidak menyatakan secara langsung pengecam kandungan diperlukan sambil mengambil kira (1) kekangan spatial dan (2) temporal. Dalam kajian terdahulu kami, kami mencadangkan kaedah penemuan kandungan yang hanya mempertimbangkan kekangan spatial dan tidak mempertimbangkan kekangan temporal. Makalah ini mencadangkan kaedah penemuan kandungan baharu yang memadankan permintaan pengguna dengan ciri metadata (topik) kandungan sambil mengambil kira kekangan ruang dan masa. Keputusan simulasi menunjukkan bahawa kaedah yang dicadangkan berjaya menemui STC yang sesuai sebagai tindak balas kepada permintaan pengguna.
Shota AKIYOSHI
Kyushu Institute of Technology
Yuzo TAENAKA
Nara Institute of Science and Technology
Kazuya TSUKAMOTO
Kyushu Institute of Technology
Myung LEE
City College of New York
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Salinan
Shota AKIYOSHI, Yuzo TAENAKA, Kazuya TSUKAMOTO, Myung LEE, "Content Search Method Utilizing the Metadata Matching Characteristics of Both Spatio-Temporal Content and User Request in the IoT Era" in IEICE TRANSACTIONS on Communications,
vol. E107-B, no. 1, pp. 163-172, January 2024, doi: 10.1587/transcom.2023EBP3060.
Abstract: 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.
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.2023EBP3060/_p
Salinan
@ARTICLE{e107-b_1_163,
author={Shota AKIYOSHI, Yuzo TAENAKA, Kazuya TSUKAMOTO, Myung LEE, },
journal={IEICE TRANSACTIONS on Communications},
title={Content Search Method Utilizing the Metadata Matching Characteristics of Both Spatio-Temporal Content and User Request in the IoT Era},
year={2024},
volume={E107-B},
number={1},
pages={163-172},
abstract={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.},
keywords={},
doi={10.1587/transcom.2023EBP3060},
ISSN={1745-1345},
month={January},}
Salinan
TY - JOUR
TI - Content Search Method Utilizing the Metadata Matching Characteristics of Both Spatio-Temporal Content and User Request in the IoT Era
T2 - IEICE TRANSACTIONS on Communications
SP - 163
EP - 172
AU - Shota AKIYOSHI
AU - Yuzo TAENAKA
AU - Kazuya TSUKAMOTO
AU - Myung LEE
PY - 2024
DO - 10.1587/transcom.2023EBP3060
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E107-B
IS - 1
JA - IEICE TRANSACTIONS on Communications
Y1 - January 2024
AB - 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.
ER -