A phenomena-of-interest approach for the interconnection of sensor data and spatiotemporal web contents

Kyoung Sook Kim, Takafumi Nakanishi, Hidenori Homma, Koji Zettsu, Yutaka Kidawara, Yasushi Kiyoki

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

Abstract

With the advance of ubiquitous computing and mobile environments, we have begun to continuously monitor changes in real-world condition and environment through wireless sensor networks. Opportunities also exist for people to create information related to the world around them by using mobile phones equipped with sensing devices, and share that information online with others. In this paper, we propose a novel approach for the interconnection of earth observation data and spatiotemporal web contents on the basis of spatiotemporal and thematic relationships. In particular, we use the concept of moving phenomena of interests to link between measurement sensing data and people-centric contents on the basis of spatiotemporal proximity and thematic relevance. This paper also shows a simple application that automatically generates semantic tags with respect to natural geographic phenomena, such as typhoons, climate changes, and air pollution, on the basis of our interconnection approach. We are able to easily understand qualitative meanings with respect to a certain phenomenon expressed by quantitative numeric conditions.

Original languageEnglish
Title of host publicationFrontiers in Artificial Intelligence and Applications
Pages288-300
Number of pages13
Volume225
DOIs
Publication statusPublished - 2011

Publication series

NameFrontiers in Artificial Intelligence and Applications
Volume225
ISSN (Print)09226389

Fingerprint

Ubiquitous computing
Air pollution
Mobile phones
Climate change
Wireless sensor networks
Earth (planet)
Semantics
Sensors

Keywords

  • events
  • geo-observation
  • phenomena
  • sensing measurements
  • spatiotemporal proximity
  • thematic relevance
  • user-generated contents

ASJC Scopus subject areas

  • Artificial Intelligence

Cite this

Kim, K. S., Nakanishi, T., Homma, H., Zettsu, K., Kidawara, Y., & Kiyoki, Y. (2011). A phenomena-of-interest approach for the interconnection of sensor data and spatiotemporal web contents. In Frontiers in Artificial Intelligence and Applications (Vol. 225, pp. 288-300). (Frontiers in Artificial Intelligence and Applications; Vol. 225). https://doi.org/10.3233/978-1-60750-690-4-288

A phenomena-of-interest approach for the interconnection of sensor data and spatiotemporal web contents. / Kim, Kyoung Sook; Nakanishi, Takafumi; Homma, Hidenori; Zettsu, Koji; Kidawara, Yutaka; Kiyoki, Yasushi.

Frontiers in Artificial Intelligence and Applications. Vol. 225 2011. p. 288-300 (Frontiers in Artificial Intelligence and Applications; Vol. 225).

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

Kim, KS, Nakanishi, T, Homma, H, Zettsu, K, Kidawara, Y & Kiyoki, Y 2011, A phenomena-of-interest approach for the interconnection of sensor data and spatiotemporal web contents. in Frontiers in Artificial Intelligence and Applications. vol. 225, Frontiers in Artificial Intelligence and Applications, vol. 225, pp. 288-300. https://doi.org/10.3233/978-1-60750-690-4-288
Kim KS, Nakanishi T, Homma H, Zettsu K, Kidawara Y, Kiyoki Y. A phenomena-of-interest approach for the interconnection of sensor data and spatiotemporal web contents. In Frontiers in Artificial Intelligence and Applications. Vol. 225. 2011. p. 288-300. (Frontiers in Artificial Intelligence and Applications). https://doi.org/10.3233/978-1-60750-690-4-288
Kim, Kyoung Sook ; Nakanishi, Takafumi ; Homma, Hidenori ; Zettsu, Koji ; Kidawara, Yutaka ; Kiyoki, Yasushi. / A phenomena-of-interest approach for the interconnection of sensor data and spatiotemporal web contents. Frontiers in Artificial Intelligence and Applications. Vol. 225 2011. pp. 288-300 (Frontiers in Artificial Intelligence and Applications).
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