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

研究成果: Conference contribution

抜粋

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.

元の言語English
ホスト出版物のタイトルInformation Modelling and Knowledge Bases XXII
出版者IOS Press
ページ288-300
ページ数13
ISBN(印刷物)9781607506898
DOI
出版物ステータスPublished - 2011

出版物シリーズ

名前Frontiers in Artificial Intelligence and Applications
225
ISSN(印刷物)0922-6389

ASJC Scopus subject areas

  • Artificial Intelligence

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  • これを引用

    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. : Information Modelling and Knowledge Bases XXII (pp. 288-300). (Frontiers in Artificial Intelligence and Applications; 巻数 225). IOS Press. https://doi.org/10.3233/978-1-60750-690-4-288