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

Shiori Sasaki, Yasushi Kiyoki

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

1 Citation (Scopus)

Abstract

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.

Original languageEnglish
Title of host publicationInformation Modelling and Knowledge Bases XXIX
EditorsNaofumi Yoshida, Chawan Koopipat, Yasushi Kiyoki, Petchporn Chawakitchareon, Aran Hansuebsai, Virach Sornlertlamvanich, Bernhard Thalheim, Hannu Jaakkola
PublisherIOS Press
Pages71-89
Number of pages19
ISBN (Electronic)9781614998334
DOIs
Publication statusPublished - 2018 Jan 1
Event27th International Conference on Information Modelling and Knowledge Bases, EJC 2017 - Krabi, Thailand
Duration: 2017 Jun 52017 Jun 9

Publication series

NameFrontiers in Artificial Intelligence and Applications
Volume301
ISSN (Print)0922-6389

Conference

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

Keywords

  • Cyber-Physical System
  • Data mining
  • Differential computing
  • GIS
  • Global environment analysis
  • Information system
  • Mobile computing
  • Multimedia database
  • Semantic associative search
  • Semantic computing
  • Sensor data
  • SPA
  • Spatiotemporal database
  • Ubiquitous computing

ASJC Scopus subject areas

  • Artificial Intelligence

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  • Cite this

    Sasaki, S., & Kiyoki, Y. (2018). Analytical visualization functions of 5d world map system for multi-dimensional sensing data. In N. Yoshida, C. Koopipat, Y. Kiyoki, P. Chawakitchareon, A. Hansuebsai, V. Sornlertlamvanich, B. Thalheim, & H. Jaakkola (Eds.), Information Modelling and Knowledge Bases XXIX (pp. 71-89). (Frontiers in Artificial Intelligence and Applications; Vol. 301). IOS Press. https://doi.org/10.3233/978-1-61499-834-1-71