A multi-dimensional river-water quality analysis system for interpreting environmental situations

Chalisa Veesommai, Yasushi Kiyoki, Shiori Sasaki

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

1 Citation (Scopus)


The multi-dimensional analysis is a promising approach to a new interpreting of environments by ground of the value-information and language-information on intellectual activities in various environment meanings to society. This paper presents a new analysis-system with semantic computing for environments in water-quality areas by integrating the fundamental important parameters of water-quality for creating the new meaning to society. The multi-water-parameter-analysis in a multi-dimensional space is important for current research issues in some water-quality research fields, which are based on the values and meanings of each parameter for obtaining the meaningful words in the category of agriculture, aquatic life, fish, drinking, industrial and irrigation. The multi-dimensional semantic space is significantly utilized for various interpretations related to the water-quality.

Original languageEnglish
Title of host publicationInformation Modelling and Knowledge Bases XXVIII
EditorsBernhard Thalheim, Hannu Jaakkola, Yasushi Kiyoki, Naofumi Yoshida
PublisherIOS Press
Number of pages20
ISBN (Electronic)9781614997191
Publication statusPublished - 2017

Publication series

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


  • Multi-dimensional space
  • Multiple-parameter-water-quality Analysis
  • River
  • Semantic Computing

ASJC Scopus subject areas

  • Artificial Intelligence


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