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

Abstract

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
PublisherIOS Press
Pages43-62
Number of pages20
Volume292
ISBN (Electronic)9781614997191
DOIs
Publication statusPublished - 2017

Publication series

NameFrontiers in Artificial Intelligence and Applications
Volume292
ISSN (Print)09226389

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Keywords

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

ASJC Scopus subject areas

  • Artificial Intelligence

Cite this

Veesommai, C., Kiyoki, Y., & Sasaki, S. (2017). A multi-dimensional river-water quality analysis system for interpreting environmental situations. In Information Modelling and Knowledge Bases XXVIII (Vol. 292, pp. 43-62). (Frontiers in Artificial Intelligence and Applications; Vol. 292). IOS Press. https://doi.org/10.3233/978-1-61499-720-7-43