Analytical visualization functions of 5d world map system for multi-dimensional sensing data

Shiori Sasaki, Yasushi Kiyoki

研究成果: Conference contribution

2 被引用数 (Scopus)

抄録

This paper presents a new analysis method and the functions for multidimensional sensing data, including multi-parameter sensor data and series of sensing images, for a collaborative knowledge creation system called 5D World Map System, and the applications in the field of multidisciplinary environmental researches. The main feature of 5D World Map System is to provide a platform of collaborative work for users to perform a global analysis for sensing data in a physical space along with the related multimedia data in a cyber space, on a single view of time-series maps based on the spatiotemporal and semantic correlation calculations. The concrete target data of the proposed new method and functions for world-wide evaluation is (1) multi-parameter sensor data such as water-quality, air-quality, soil-quality etc., and (2) multispectral and natural-color image data taken by moving cameras such as UAV/car-mounted cameras or mobile phones for environmental monitoring. The proposed world-wide evaluation functions enable multiple remote-users to acquire real-time sensing data from multiple sites around the world, perform analytical visualizations of the acquired sensing data by a selected world environmental standard to discover the incidental phenomena, and provide the analysed results to related users’ terminal equipment automatically. These new functions realize a new multidimensional data analysis and knowledge sharing for a collaborative environment. Especially, in the world-wide evaluation function, applying the concept of “semantic computing” to determining the environmental-quality levels of multiple places around the world. The results are able to be analysed by the time-series difference of the value of each place, the differences between the values of multiple places in a focused area, and the time-series differences between the values of multiple places, and calculated as a “world ranking”, to detect and predict an environmental irregularity and incident. In our world-wide evaluation method, we define the environmental impacts as “semantics” of environmental condition. The originality of our method is in (1) an interpreter to convert the numerical environmental quality-level to the qualitative impacts/meanings by the sentence or a set of words that even non-specialists or ordinary people are able to understand, and (2) a visualizer to realize a global comparison and “world-ranking” with a semantic computing for targeting the multi-parameter sensing values of multiple sites around the world.

本文言語English
ホスト出版物のタイトルInformation Modelling and Knowledge Bases XXIX
編集者Chawan Koopipat, Virach Sornlertlamvanich, Yasushi Kiyoki, Petchporn Chawakitchareon, Bernhard Thalheim, Aran Hansuebsai, Hannu Jaakkola, Naofumi Yoshida
出版社IOS Press
ページ71-89
ページ数19
ISBN(電子版)9781614998334
DOI
出版ステータスPublished - 2018
イベント27th International Conference on Information Modelling and Knowledge Bases, EJC 2017 - Krabi, Thailand
継続期間: 2017 6 52017 6 9

出版物シリーズ

名前Frontiers in Artificial Intelligence and Applications
301
ISSN(印刷版)0922-6389

Conference

Conference27th International Conference on Information Modelling and Knowledge Bases, EJC 2017
国/地域Thailand
CityKrabi
Period17/6/517/6/9

ASJC Scopus subject areas

  • 人工知能

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