An environmental-semantic computing system for coral-analysis in water-quality and multi-spectral image spaces with "Multi-Dimensional World Map"

Yasushi Kiyoki, Xing Chen, Chalisa Veesommai, Shiori Sasaki, Asako Uraki, Chawan Koopipat, Petchporn Chawakitchareon, Aran Hansuebsai

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

Abstract

Environmental-semantic space integration is a promising approach to realize deep analysis environmental phenomena and situations. The essential computation in environmental study is context-dependent-differential computation to analyze the changes of various situations (air, water, CO2, places of livings, sea level, coral area, etc.). It is important to realize global environmental computing methodology for analyzing difference and diversity of nature and livings in a context dependent way with a large amount of information resources in terms of global environments. In the design of environment-analysis systems, one of the most important issues is how to integrate several environmental aspects and analyze environmental data resources with semantic interpretations. In this paper, we present an environmental-semantic computing system. Our environmental-semantic computing system realizes integration and semantic-search among environmental-semantic spaces with water-quality and image databases. We have already presented a concept of "Semantic Computing System" for analyzing and interpreting environmental phenomena and changes occurring in the oceans and rivers in the world. We also introduce the concept of "SPA (Sensing, Processing and Analytical Actuation Functions)" for realizing a global environmental system, to apply it to Multi-dimensional World Map (5-Dimensional World Map) System. This concept is effective and advantageous to design environmental systems with Physical-Cyber integration to detect environmental phenomena as real data resources in a physical-space (real space), map them to cyber-space to make analytical and semantic computing, and actuate the analytically computed results to the real space with visualization for expressing environmental phenomena, causalities and influences. This paper presents integration and semantic-analysis methods for two environmental-semantic spaces with water-quality and image databases. We have implemented an actual space integration system for accessing environmental information resources with water-quality and image analysis. We clarify the feasibility and effectiveness of our method and system by showing several experimental results for environmental medical document databases.

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
Pages52-70
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

Fingerprint

Water quality
Semantics
Sea level
Image analysis
Visualization
Rivers
Processing
Air

Keywords

  • Data mining
  • Global environmental analysis
  • Multimedia system
  • Semantic computing

ASJC Scopus subject areas

  • Artificial Intelligence

Cite this

Kiyoki, Y., Chen, X., Veesommai, C., Sasaki, S., Uraki, A., Koopipat, C., ... Hansuebsai, A. (2018). An environmental-semantic computing system for coral-analysis in water-quality and multi-spectral image spaces with "Multi-Dimensional World Map". 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. 52-70). (Frontiers in Artificial Intelligence and Applications; Vol. 301). IOS Press. https://doi.org/10.3233/978-1-61499-834-1-52

An environmental-semantic computing system for coral-analysis in water-quality and multi-spectral image spaces with "Multi-Dimensional World Map". / Kiyoki, Yasushi; Chen, Xing; Veesommai, Chalisa; Sasaki, Shiori; Uraki, Asako; Koopipat, Chawan; Chawakitchareon, Petchporn; Hansuebsai, Aran.

Information Modelling and Knowledge Bases XXIX. ed. / Naofumi Yoshida; Chawan Koopipat; Yasushi Kiyoki; Petchporn Chawakitchareon; Aran Hansuebsai; Virach Sornlertlamvanich; Bernhard Thalheim; Hannu Jaakkola. IOS Press, 2018. p. 52-70 (Frontiers in Artificial Intelligence and Applications; Vol. 301).

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

Kiyoki, Y, Chen, X, Veesommai, C, Sasaki, S, Uraki, A, Koopipat, C, Chawakitchareon, P & Hansuebsai, A 2018, An environmental-semantic computing system for coral-analysis in water-quality and multi-spectral image spaces with "Multi-Dimensional World Map". in N Yoshida, C Koopipat, Y Kiyoki, P Chawakitchareon, A Hansuebsai, V Sornlertlamvanich, B Thalheim & H Jaakkola (eds), Information Modelling and Knowledge Bases XXIX. Frontiers in Artificial Intelligence and Applications, vol. 301, IOS Press, pp. 52-70, 27th International Conference on Information Modelling and Knowledge Bases, EJC 2017, Krabi, Thailand, 17/6/5. https://doi.org/10.3233/978-1-61499-834-1-52
Kiyoki Y, Chen X, Veesommai C, Sasaki S, Uraki A, Koopipat C et al. An environmental-semantic computing system for coral-analysis in water-quality and multi-spectral image spaces with "Multi-Dimensional World Map". In Yoshida N, Koopipat C, Kiyoki Y, Chawakitchareon P, Hansuebsai A, Sornlertlamvanich V, Thalheim B, Jaakkola H, editors, Information Modelling and Knowledge Bases XXIX. IOS Press. 2018. p. 52-70. (Frontiers in Artificial Intelligence and Applications). https://doi.org/10.3233/978-1-61499-834-1-52
Kiyoki, Yasushi ; Chen, Xing ; Veesommai, Chalisa ; Sasaki, Shiori ; Uraki, Asako ; Koopipat, Chawan ; Chawakitchareon, Petchporn ; Hansuebsai, Aran. / An environmental-semantic computing system for coral-analysis in water-quality and multi-spectral image spaces with "Multi-Dimensional World Map". Information Modelling and Knowledge Bases XXIX. editor / Naofumi Yoshida ; Chawan Koopipat ; Yasushi Kiyoki ; Petchporn Chawakitchareon ; Aran Hansuebsai ; Virach Sornlertlamvanich ; Bernhard Thalheim ; Hannu Jaakkola. IOS Press, 2018. pp. 52-70 (Frontiers in Artificial Intelligence and Applications).
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