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Empowering Citizens through Structured Data: Enhancing Public Service information Delivery in Disaster Response

  • Naho Kitano
  • , Jiro Kokuryo
  • , Noboru Koshizuka
  • , Hideyuki Yasui
  • , Kazuhiko Kitayama

研究成果: Conference contribution

抄録

As governments increasingly rely on digital data to enhance public services, it is crucial to rethink how this data is utilized to better meet the needs of citizens. This paper emphasizes the transformative potential of structured data semantics in improving service delivery at both local and national levels. Focusing on the case of Noto Peninsula, Japan, which was affected by a recent earthquake, we explore how the implementation of the Universal Menu facilitated efficient access to vital services for affected residents. By examining this case, the paper underscores the need for a standardized approach to data organization that allows municipalities to tailor services effectively to the unique needs of their communities. Drawing on examples from other countries, we argue that embracing structured data semantics not only enhances the responsiveness of government services but also empowers citizens to easily identify and access the support they require. The conclusion reinforces the necessity of this paradigm shift for fostering resilient and citizen-centric governance in an increasingly digital world.

本文言語English
ホスト出版物のタイトルProceedings - 2024 IEEE International Conference on Big Data, BigData 2024
編集者Wei Ding, Chang-Tien Lu, Fusheng Wang, Liping Di, Kesheng Wu, Jun Huan, Raghu Nambiar, Jundong Li, Filip Ilievski, Ricardo Baeza-Yates, Xiaohua Hu
出版社Institute of Electrical and Electronics Engineers Inc.
ページ6850-6856
ページ数7
ISBN(電子版)9798350362480
DOI
出版ステータスPublished - 2024
イベント2024 IEEE International Conference on Big Data, BigData 2024 - Washington, United States
継続期間: 2024 12月 15 → 2024 12月 18

出版物シリーズ

名前Proceedings - 2024 IEEE International Conference on Big Data, BigData 2024
ISSN(印刷版)2639-1589
ISSN(電子版)2573-2978

Conference

Conference2024 IEEE International Conference on Big Data, BigData 2024
国/地域United States
CityWashington
Period24/12/15 → 24/12/18

UN SDG

この成果は、次の持続可能な開発目標に貢献しています

  1. SDG 11 - 住み続けられるまちづくり
    SDG 11 住み続けられるまちづくり

ASJC Scopus subject areas

  • 人工知能
  • コンピュータ ネットワークおよび通信
  • コンピュータ サイエンスの応用
  • 情報システム
  • 情報システムおよび情報管理
  • 安全性、リスク、信頼性、品質管理
  • モデリングとシミュレーション

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