A realtime sensing-data-Triggered news article provision system with 5D world map

Hanako Fujioka, Shiori Sasaki, Yasushi Kiyoki

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

The most important aim of our study is to realize a multi-database for social sciences and environmental sciences. Our system connects heterogeneous databases about historical phenomena by using common spatiotemporal information and visualize the connected results onto 5D World Map (a set of chronologically ordered global maps). To actualize that, we created a news articles provision system using real-Time sensor data as a trigger and determined the effectiveness in the experiment. Here we found that we can get the information about the happening in the same atmospheric condition in the past by exhibiting news articles. These results provide new insight into our understanding of the relationship between real-Time situation and past occurrence with news articles.

Original languageEnglish
Title of host publicationProceedings - International Electronics Symposium on Knowledge Creation and Intelligent Computing, IES-KCIC 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages265-269
Number of pages5
Volume2017-January
ISBN (Electronic)9781538607169
DOIs
Publication statusPublished - 2017 Dec 19
Event6th International Electronics Symposium on Knowledge Creation and Intelligent Computing, IES-KCIC 2017 - Surabaya, Indonesia
Duration: 2017 Sep 262017 Sep 27

Other

Other6th International Electronics Symposium on Knowledge Creation and Intelligent Computing, IES-KCIC 2017
CountryIndonesia
CitySurabaya
Period17/9/2617/9/27

Keywords

  • 5D World Map
  • environmental science
  • news article
  • sensor data
  • social science
  • visualization

ASJC Scopus subject areas

  • Artificial Intelligence
  • Signal Processing

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  • Cite this

    Fujioka, H., Sasaki, S., & Kiyoki, Y. (2017). A realtime sensing-data-Triggered news article provision system with 5D world map. In Proceedings - International Electronics Symposium on Knowledge Creation and Intelligent Computing, IES-KCIC 2017 (Vol. 2017-January, pp. 265-269). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/KCIC.2017.8228597