A Phenomena-of-Interest Approach for the Interconnection of Sensor Data and Spatiotemporal Web Contents

  • Authors:

  • Kyoung-Sook Kim;Takafumi Nakanishi;Hidenori Homma;Koji Zettsu;Yutaka Kidawara;Yasushi Kiyoki

  • Affiliations:

  • Knowledge Creating Communication Research Center, National Institute of Information and Communications Technology, Japan;Knowledge Creating Communication Research Center, National Institute of Information and Communications Technology, Japan;Knowledge Creating Communication Research Center, National Institute of Information and Communications Technology, Japan;Knowledge Creating Communication Research Center, National Institute of Information and Communications Technology, Japan;Knowledge Creating Communication Research Center, National Institute of Information and Communications Technology, Japan;Knowledge Creating Communication Research Center, National Institute of Information and Communications Technology, Japan and Keio University, Japan

  • Venue:
  • Proceedings of the 2011 conference on Information Modelling and Knowledge Bases XXII
  • Year:
  • 2011

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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.